3D animation itself has experienced incredible growth over time, opening up amazing opportunities and giving birth to new methods of storytelling such as video games, all while aiding the more traditional genres such as films, TV shows, and animated features.

While CGI has its critics, most fans agree that upon proper implementation, it plays an essential role in creating masterful works of art, and has done so throughout the decades, enhancing visual storytelling and bringing it to new heights. The future is looking even more promising though, as technology continues evolving, promising improvements for fans of media. 

The Demand for CGI and the Possible Future

Before we talk about how 3D animation may work in tandem with 2D in a project, why not mention a media in which it is irreplaceable, video games. Unlike animated projects, you cannot draw every frame of a video game by hand, in the traditional style, leading companies to rely on computer graphics and 3D models to achieve desired results.

Being an irreplaceable part of such a massive subset in the entertainment industry, which despite all of its success continues growing at rapid rates, highlights the demand for 3D animation. Other niches and unlikely industries utilize CGI as well, whether that is scientific simulations or other branches of entertainment such as casinos.

For the former, it can include medical animations, architectural visualizations, etc. When it comes to the latter, it relies more and more on CGI as the years go by. For now, it is not an irreplaceable part of the industry by any chance, but tech such as slot machines do utilize it quite well, enhancing user experiences.

This is especially true for pokies online, where a player is relying even more on technology and the visuals being perfectly captivating – since the immersion and the atmosphere of a physical establishment are not there. Pokies, also known as slot machines or fruit machines, are one of the most popular online casino games, due to their immersive and interactive nature that the virtual domain allows for. These games have evolved significantly with the integration of 3D animation, creating visually stunning experiences for players.

Online pokies often feature intricate 3D graphics, animations, and character models that bring the game themes – be it Egyptian mythology- or food-inspired – to life. From classic fruit symbols to adventures across ancient civilizations or fantasy realms, 3D animations transport players into captivating virtual worlds.

Statistically speaking, online platforms do very well, and a non-negligible part of that success is, without a doubt, well-implemented 3D animation, aiding in the overall visual immersion and experience. 

Moving on though, as was briefly mentioned, technological advances, mainly looking at the impressive progress of AI, can potentially aid the world of animation, and make it easier for the hard-working individuals in charge of these projects, by automating it a little. 

One of the most labor-intensive aspects of 3D modeling and animation is the frame-by-frame manipulation required to create realistic motion and detail. Ideally, AI can accelerate and streamline this painstaking process through technologies like motion capture, facial mapping, and predictive modeling.

This would change the landscape quite a bit, allowing for a higher number of projects to get done faster. In the process, some other concerns may arise upon reaching the eventual hypothesized state of AI and its capabilities, but that is an issue for another day.

The Best of 3D Animation

Some of the harshest critics of CGI may advocate for sticking with the roots when it comes to animated features. After all, 2D animation is what is predominantly used in Japanese animations (Anime), media that is rapidly growing in popularity globally. 

However, it is important to reiterate that one style is not inherently superior to the other. Anime utilizes its style incredibly well, with talented artists working tirelessly on drawing every single frame by hand and creating beautiful imagery. At the same time, if we look at Western animation, and projects like Spider-Man: Into the Spiderverse, we quickly notice that it predominantly (around 90% very roughly) uses 3D animation.

This is true with the overwhelming majority of other highly acclaimed projects as well, but let us use Spider-Man as a vehicle since it was especially praised for its innovative and unique visuals. In addition to many other interesting techniques, the film utilized both 2D and 3D animation to achieve the ‘comic book’ look they were going for, winning several awards for visuals as a result. 

A piece of media that cannot go unmentioned while talking about unique visuals though, is Netflix’s Arcane, which has received awards for great animation. Aside from the incredible storytelling, character work, and an overall extremely thought-provoking, bold narrative, Arcane looks unbelievably good, and 3D animation is a huge part of this look. 

Once again, we have the juxtaposition of the two styles, with character models, some objects in the environment being CGI, with 2D artists painting over these models, adding style, details, and life, while being responsible for the rest of the environment, whether that is effects such as explosions, fire, energy-blasts, magic, and what-not. 

We see a commonality here, two incredibly highly acclaimed pieces of media, utilizing both 3D and 2D animation, creating a unique look and setting themselves apart from the traditional projects. In other words, yes, 3D animation is incredibly useful in the industry and produces amazing results with proper implementation and knowledge.

The post 3D Animation: Overall Improvements, Breakthrough Tech and AI appeared first on Alpha3D.

Tools like Houdini, Substance 3D, and Blender have long been staples in the 3D designer’s toolkit. However, the emergence of AI has ushered in a wave of innovative 3D tools that aim to speed up and simplify the creation of 3D models and fit seamlessly in with the existing tools in a 3D designer’s stack.

Imagine starting your design process not with a blank canvas, but with a textual description that instantly transforms into a 3D model. It’s not just about efficiency; it’s about reimagining the very way we approach design.

But as any seasoned 3D designer knows, the initial model is just the beginning. Refinement, customization, and enhancement are crucial to achieving a final product that truly resonates. That’s where Blender comes into play. Together, Alpha3D and Blender can offer a seamless workflow, allowing designers to generate models from text and then dive deep into the intricate world of 3D design.

Alpha3D: A new tool in the 3D designer’s arsenal

At its core, Alpha3D is a generative AI-powered platform that creates 3D models from text or image inputs. But what does that mean for a 3D designer?

It’s not about replacing the intricate craftsmanship of design but enhancing it, giving designers a head start in their creative process. For many 3D designers, the toolset is diverse, with different platforms catering to various needs of the design. Alpha3D fits right into this ecosystem, creating an initial 3D model that can be further refined and enhanced in tools like Blender. The ability to export models and use them on other platforms ensures that designers have the flexibility they need.

Blender: The 3D designer’s playground

Blender, with its rich feature set, offers a plethora of tools and techniques that can elevate any 3D model. For 3D designers, especially those working with AI-generated models from Alpha3D, Blender provides the perfect playground to refine, enhance, and truly make a model come to life. Moreover, its enhanced support for complex materials and lighting ensures that designers can achieve realistic and high-quality renders.

How to create a 3D model using Alpha3D and Blender

One of the key benefits of using Alpha3D in tandem with Blender is the optimization of the design workflow. Starting with a text-generated model from Alpha3D provides a solid foundation, allowing designers to focus on the intricate details and enhancements in Blender.

For this article, we’re going to use a text prompt – “cherry” – to generate a 3D model of a cherry with Alpha3D. We will then import it into Blender to give it some final touches.

Here’s how:

1. Generating a 3D model from text and exporting from Alpha3D: Firstly, we generated a 3D model from a text prompt with Alpha3D and downloaded the 3D model in glb format to ensure compatibility with Blender.

2. Importing the Alpha3D generated 3D model into Blender: Simply navigate to the ‘Import’ option, select the appropriate file format, and your Alpha3D model will be ready for refinement in Blender.

3. Editing and customization: With the model imported, we can now refine and modify the 3D model.

Firstly, we’ll clear all transforms to ensure that the scale, rotation and position are correct.

Moving on we’ll go into “Edit Mode” and select all vertices by pressing “A” on the keyboard and then “Alt+M” to merge all the vertices by distance. In other words, we have to make sure the geometry is one solid object without any holes or doubled vertices.

The next step is to delete any unnecessary parts that might look broken due to the model generation process.

With the help of sculpting brushes like Grab, Inflate and Smooth we can fix the problematic part such as the stem of the cherry.

While we’re at it, let’s also give this green blob a little smooth brush fix…

…and paint it red with Vertex Paint tool.

Once we are happy with the results we can proceed to export our model as .glb file and use it in any 3D environment or viewer.

Advanced methods for 3D model modifications in Blender

Detailed sculpting and mesh refinement:

• • Dynamic topology: This feature allows designers to add detail to specific areas of a model without subdividing the entire mesh. It’s particularly useful for adding intricate details to characters or organic shapes.
  • Multi-res sculpting: For those looking to add layers of detail, multi-resolution sculpting lets you work on different levels of detail simultaneously, ensuring a smooth and detailed model.

Advanced texturing and UV mapping:

• • • Procedural materials: Blender’s node-based material system allows for the creation of complex and realistic materials without relying solely on image textures.
    • UV unwrapping: With tools like ‘Seam Marking’ and ‘Live Unwrap’, Blender offers a streamlined process to unwrap your model and get it ready for texturing.

Rigging and Animation:

• • Armature creation: Designers can create a skeletal structure for their models, allowing for realistic movement and animation.
  • Weight painting: This ensures that the mesh deforms correctly when the armature is posed or animated.

Lighting and rendering:

• • Cycles and Eevee: Blender offers two powerful render engines. While Cycles is a ray-traced render engine providing photorealistic results, Eevee is a real-time engine perfect for quick previews and stylized renders.
  • HDRI lighting: Using high dynamic range images, designers can achieve realistic lighting and reflections in their scenes.

Particle systems and simulations:

• • Hair and fur: Using particle systems, designers can add realistic hair and fur to their models.
  • Fluid and smoke simulations: For those looking to add dynamic elements to their scenes, Blender offers robust simulation tools.

Optimizing for Performance:

• Modifiers: From the ‘Subdivision Surface’ for adding detail to the ‘Decimate’ modifier for reducing polygon count, Blender’s modifiers allow for non-destructive edits to optimize models.
• LOD (Level of Detail) systems: This ensures that models are rendered with the appropriate level of detail based on their size and distance from the camera, optimizing performance.

Conclusion

The world of 3D design is ever-evolving, with tools and techniques continuously pushing the boundaries of creativity. Alpha3D and Blender represent a harmonious blend of innovation and versatility. By starting with the intuitive text-to-3D generation of Alpha3D and diving into the intricate refinement capabilities of Blender, designers are equipped with a powerful toolkit that streamlines the creative process. Embracing these tools not only enhances efficiency but also opens doors to new design possibilities, ensuring that the 3D design community remains at the forefront of technological advancement.

The post How to create a 3D model using Alpha3D and Blender appeared first on Alpha3D.

So, whether you’re looking to create content for AR, virtual reality (VR), a gaming environment or any other 3D platform, join us as we uncover the magic behind Alpha3D AI and how it’s making 3D model creation accessible to all.

How to create a 3D model with Alpha3D

Alpha3D offers a solution to the complexities of 3D content creation by enabling users to convert text or 2D images of real-world objects into 3D models seamlessly.

Text to 3D model generaton

Firstly, we’re going to focus on the text to 3D model generation feature and generate a 3D model of a hamburger.

Now let’s jump right into it:

1. Head to Alpha3D app
2. Click on “Add a new project”
3. Now describe the object you want to create in 3D. We’re going to use a simple prompt “hamburger”
4. Hit the “Generate” button

Depending on the complexity, it will take from a few seconds to a minute for your 3D model to be generated.

Your 3D model has now been created. Go to “All projects” and click on the model card. You can interact with the 3D model and download it in glb format immediately.

2D image to 3D model generation

Using a 2D image as an input to generate a 3D model works similarly to the text to 3D model feature. The only difference is that for the time being, the 2D to 3D AI model, is only trained on two object categories: shoes and furniture.

Here’s how to create a 3D model using 2D image as an input:

1. 1. As with text to 3D, you’ll start from creating a new project.
   2. Make sure to select the 2D to 3D AI method and picking the correct category. In this case, we’re switching the method to 2D to 3D shoes.

1. Upload your 2D image and hit generate.

Depending on the complexity, it will take from a few seconds to a minute for your 3D model to be generated.

Your 3D model has now been created. Go to “All projects” and click on the model card. You can interact with the 3D model and download it in glb format immediately.

Why make 3D models with Alpha3D?

• At least 10 times faster than traditional 3D model creation methods. Depending on the complexity, takes Alpha3D AI Model Generator a few seconds to a few minutes to create a 3D model from text or image input.
• It’s up to 100 times cheaper. As opposed to traditional methods, where the price per 3D model can range from a few hundred dollars to thousands of dollars, Alpha3D charges $1 per 3D model. Your first 50 models are always free.
• It’s accessible. You don’t need to be a seasoned 3D designer to create 3D models. Alpha3D is designed to be intuitive, allowing anyone, regardless of their expertise, to transform text or 2D images into lifelike 3D assets with ease.

The post How to make a 3D model with Alpha3D AI appeared first on Alpha3D.

Our mission, at Alpha3D, is to make 3D content generation effortless, seamless and accessible, and with the new text to 3D model generation we’re one step closer to realizing that vision.

Generating any object from text to 3D model with Alpha3D AI Model Generator

With the “Anything from text to 3D model” feature, your imagination is the only limit. Simply describe what you want to generate with a text prompt, and Alpha3D AI Model Generator will bring it to life in 3D form.

Getting started

Text to 3D Model: A New Workflow

No more restrictions, no more complexities—just pure creativity unleashed. With just a simple text prompt, Alpha3D’s AI Model Generator will automatically render the 3D model for you. Whether it’s a fantastical creature, a futuristic vehicle, or a historical landmark. If you can describe it, you can create it.

This feature is designed to inspire and empower anyone working with 3D models, regardless of their 3D modelling skills.

How to generate 3D models from text prompts with Alpha3D AI Model Generator:

1. Sign up or log in to Alpha3D. Your first 50 models are on us!
2. Navigate to “Add a new project”: Select “Anything (text to 3D)” in the Category dropdown.
3. Describe your vision: Write a text prompt describing what you want to generate in 3D and hit the “Generate” button.
4. Watch it come to life: Alpha3D’s AI Model Generator will render the 3D model for you automatically in a few seconds.
5. Download and deploy: Download the model in glb and usd format. And use it with any compatible XR visualization platform or environment.

Share your creations with us

We believe that creativity thrives when it’s shared. Therefore, we’d love to ask you to tag us in your social media posts, and let’s show the world what you’ve created. You’ll find our social media handles in the footer

The post Text to 3D model generation with Alpha3D AI appeared first on Alpha3D.

What’s Alpha3D?

Alpha3D is a generative AI-powered platform that transforms 2D images or text prompts into 3D models in a matter of minutes. It democratizes the process of creating 3D content for augmented reality, virtual reality, and immersive virtual experiences, making it faster, cheaper, and easier than ever before.

What’s NVIDIA Omniverse?

NVIDIA Omniverse is a platform for connecting and developing Universal Scene Description (OpenUSD)-based tools and applications. It accelerates the creation of virtual worlds and advanced 3D workflows for industrial digitalization. Built on OpenUSD, NVIDIA RTX, and AI technologies, Omniverse is a modular, fully composable software platform that scales from workstation to cloud, enabling developers to build advanced, scalable solutions with minimal coding.

How does the Alpha3D extension for NVIDIA Omniverse work?

The Alpha3D extension for Omniverse streamlines the 3D model generation process by integrating Alpha3D directly into the Omniverse platform. With this extension, designers, artists, and developers can import their 3D assets from Alpha3D directly into their USD-based workflows and applications, taking advantage of a host of unique benefits, including:

• Democratised 3D creation process. Regardless of their level of expertise in 3D modeling, designers, artists, and developers can transform 2D images and/or text into 3D digital assets via the Alpha3D platform in minutes and immediately use them in their workflows.

• Streamlined workflows that allow creators to sync their Alpha3D account with Omniverse and import their AI-generated models directly into Omniverse. This seamless integration makes it fast and efficient to navigate between the two platforms, saving time and eliminating the need to download and re-upload 3D files.

How to get started

It’s easy to start taking advantage of Alpha3D in Omniverse. You’ll need both an Alpha3D account and Omniverse, then follow the steps below.

Generate 3D models from 2D images in Alpha3D

• Create an account on Alpha3D (if you don’t already have an existing account).
• Generate 3D models with Alpha3D: Upload 2D images of objects or use text prompts to generate 3D models in minutes.

Open Alpha3D assets in Omniverse

Get started with NVIDIA Omniverse by downloading the standard license free, or learn how Omniverse Enterprise can connect your team.

• Sign into your Omniverse account.
• Find Alpha3D in the extensions tab and enable the extension. This will prompt you to log in to your account.

• The 3D assets from your Alpha3D account will be automatically imported.

• If you don’t have any 3D assets generated on Alpha3D yet, you can pick a stock 3D model from the Alpha3D Gallery in the Alpha3D Omniverse extension.

• Drag and drop the 3D asset you’d like to continue with.

• Manage and deploy your 3D assets in Omniverse. After your 3D models have been selected, they will be available for management and deployment in the Omniverse platform.

Get started building your own immersive digital experiences with Alpha3D in Omniverse. Check out these developer resources to learn how you can integrate the Alpha 3D extension into your own Omniverse workflows and applications.

The post Introducing: Alpha3D Extension for NVIDIA Omniverse appeared first on Alpha3D.

We’ve cut the legwork out for you here but if you’d like to generate your own custom 3D models with Alpha3D AI 3D Model Generator, you can sign up and get started here. All you need for the input is an image of the real-life object or you can also use text prompts. Your first 50 3D models are free.

Please note, for now, we have only released one object category – shoes – on our AI 3D Model Generator. However, we have many more in the pipeline that will be launched very soon.

Image to 3D AI generated models (download free by clicking on the object)

Text to 3D AI generated models (download free by clicking on the object)

The post Download free AI generated 3D shoe models appeared first on Alpha3D.

But as technology advances and the digital landscape expands, we’re moving beyond the flat realm of 2D images. The rise of technologies like 3D printing, extended reality, and computer-generated imagery (CGI) in films and video games has brought the third dimension into the spotlight. Just as with 2D images, 3D models rely on specific file formats. However, these 3D file formats are less familiar to most people, and understanding them can be a bit more complex.

In this article we will demystify the world of 3D model file formats. We’ll explore the most common formats, delve into their use cases, creation and applications, and discuss their differences. Whether you’re a 3D artist, a game developer, an engineer, or just a tech enthusiast, understanding these file formats can help you navigate the 3D landscape more effectively.

Why are there so many different file formats for digital 3D models?

Just as a JPEG or PNG file is a container for 2D image data, a 3D model file format is a container for 3D data. But while 2D image files simply store pixel data, 3D model files have to encapsulate a much broader range of information. This can include the geometry of the model (the points, lines, and polygons that make up its shape), the position of the model in space, the materials and textures applied to the model, lighting information, animation data, and more.

There are many different 3D model file formats, each designed to handle this complex data in its own way. Some formats are simple and only store basic geometric data, making them ideal for applications like 3D printing. Other formats are more complex and can store detailed information about materials, lighting, and animation, making them better suited for use in 3D animation or game development.

The reason there are so many different 3D file formats is that different applications have different needs. A format that’s perfect for creating a static 3D model for a 3D printed object might not be the best choice for creating a detailed, animated character for a video game. Similarly, a format that works well for a small, simple model might not be efficient for a large, complex scene with many different elements.

So let’s take a closer look at some of the most common 3D model file formats, their use cases, and the applications to create and use them.

Common 3D model file formats

.gltf (GL Transmission Format) and .glb (Binary form of GLTF): glTF and GLB can store a wide range of 3D model data, including geometry, materials, and animation. They are often used for web-based 3D graphics.

Pros: Efficient for web delivery, can store a wide range of 3D model data.

Cons: Not as widely supported in traditional 3D software.

Use Cases: Web-based 3D graphics, virtual and augmented reality.

Create with: Alpha3D (2D to 3D generative AI), Blender, SketchUp (with extension), 3DS Max (with plugin)

View/use with: Facebook (3D Posts, Oculus), Google (<model viewer>), Sketchfab, Unity, Unreal Engine, Windows (3D viewer), Spatial, Model Viewer

.usd (Universal Scene Description) and .usdz (zip-compressed USD): This is a file format developed by Pixar and in 2016 Apple adopted .usdz as the primary format for iOS AR applications. It’s designed to handle complex scenes with high performance. It allows for the interchange of 3D graphics data and related metadata among different software tools. It’s particularly useful in animation and VFX workflows, where there’s a need to work with complex scenes with many different elements.

Pros: Can handle complex scenes efficiently, allows for interchange of data among different software.

Cons: Not as widely supported, more complex to use.

Use cases: Animation and VFX workflows, particularly for complex scenes.

Create with: Alpha3D (2D to 3D generative AI), Blender, Unity, Autodesk Maya, Nvidia Omniverse. Pro tip: you can use Reality Converter app to convert .glb files into .usdz

View/use with: Apple iOS, Unreal Engine, NVIDIA.

.obj (Wavefront Object): The OBJ format is commonly used in 3D graphics applications. It can store geometry, texture mapping, and other information. This format is widely supported and can be used in a variety of applications.

Pros: Stores detailed model data, widely supported.

Cons: Can be larger file size, not as efficient for complex scenes.

Use cases: 3D printing, animation, game development, and visual effects.

Create with: Blender, Autodesk Maya, Autodesk 3ds Max. 3D models, generated on Alpha3D, will be available to download in .obj in August 2023.

View/use with: Roblox, MeshLab, Sketchfab, Unity, Unreal Engine.

.fbx (Filmbox): Developed by Autodesk, FBX is a versatile and widely used format that can store complex 3D model data, including geometry, materials, lighting, and animation. It’s often used in 3D animation and game development.

Pros: Can store complex data, good for animated models, widely supported.

Cons: Proprietary format, can be larger file size.

Use cases: 3D animation, game development, and visual effects.

Create with: Blender, Autodesk’s suite of tools (Maya, 3ds Max, etc.). 3D models, generated on Alpha3D, will be available to download in .fbx in August 2023.

View/use with: Unity, Roblox and Unreal Engine.

.stl (Stereolithography): STL is one of the most widely used file formats in 3D printing. It represents 3D models as a series of triangular facets. This format is simple and only stores geometric data, making it ideal for 3D printing but less suitable for applications that require color or texture information.

Pros: Simple format, widely supported, ideal for 3D printing.

Cons: Only stores geometric data, no color or texture information.

Use cases: Primarily used in 3D printing and rapid prototyping.

Create with: AutoCAD, Fusion 360

View/use with: Sketchfab, Unity, Unreal Engine

.dae (COLLAborative Design Activity): This is an open standard XML schema for exchanging digital assets among various graphics software applications. It can store a wide range of 3D model data, including geometry, materials, lighting, and animation. It is managed by the nonprofit technology consortium, the Khronos Group.

Pros: Open standard, can store a wide range of 3D model data.

Cons: XML format can result in larger file sizes, not all features are supported by all software.

Use cases: 3D modeling, animation, and game development.

Create with: Blender, SketchUp, Maya, 3DS Max

View/use with: FreeCAD, MeshLab, Sketchfab, Unity, Unreal Engine.

.step (Standard for the Exchange of Product Data): Widely used for data exchange in CAD (Computer-Aided Design) software. It can store detailed geometric data as well as information about the assembly structure of complex models.

Pros: Can store detailed geometric data as well as information about the assembly structure of complex models.

Cons: Older formats, can be less efficient for complex models.

Use cases: Engineering and manufacturing, particularly for exchanging data between different CAD software. The main use case for STEP files is to make creating, editing, and sharing 3D model designs across various CAD programs easier.

Create with: AutoCAD, FreeCAD, Fusion 360.

View/use with: Used by many CAD packages, including SolidWorks, AutoCAD, and CATIA.

.ply (Polygon File Format or Stanford Triangle Format): This format is commonly used for storing 3D data from 3D scanners. It can store geometric data as well as color and texture information.

Pros: Can store geometric data as well as color and texture information.

Cons: Not as widely supported as some other formats.

Use cases: 3D scanning, computer vision, and scientific computing.

Create with: Blender, 3DS Max, MeshLab.

View/use with: Sketchfab, Unity, Unreal Engine, MeshLab.

.dxf (Drawing Exchange Format): This is a CAD data file format developed by Autodesk for enabling data interoperability between AutoCAD and other programs. It primarily stores 2D geometric data but can also be used for 3D models.

Pros: Widely supported, good for 2D and simple 3D models.

Cons: Not as efficient for complex 3D models.

Use cases: 2D and 3D drafting, particularly for exchanging data between AutoCAD and other software.

Create with: AutoCAD, FreeCAD, Fusion 360.

View/use with: Used by AutoCAD and many other CAD packages.

VRML (Virtual Reality Modeling Language) and .wrl (extension of VRML): These are standard file formats for representing 3D interactive vector graphics, designed particularly with the World Wide Web in mind. VRML file types enable browser plugins to display virtual reality environments. They can store geometric data as well as materials, lighting, and animation.

Pros: Designed for interactive 3D graphics, can store a wide range of data.

Cons: Not as widely supported in traditional 3D software.

Use cases: Web-based 3D graphics, virtual reality.

Create with: Blender, FreeCAD.

View/use with: FreeWRL (a VRML/X3D browser that supports Linux and other Unix-style platforms, Mac OS/X, and Windows), VRML Viewer 3D.

3DS (3D Studio): 3DS is an older format developed by Autodesk. It’s less commonly used today but is still supported by many software packages. 3DS can store geometric data as well as materials and lighting, but it has limitations in terms of the complexity of the models it can handle.

Pros: Stores geometric data as well as materials and lighting.

Cons: Has limitations in terms of the complexity of the models it can handle, less commonly used today.

Use Cases: Earlier 3D modeling and animation projects.

Create with: 3DS Max

View/use with: MeshLab, Unity, Unreal Engine. Primarily used by older versions of 3D Studio Max.

Each of these formats has its own strengths and weaknesses, and the best one to use can depend on the specific requirements of your 3D project. In the next section, we’ll discuss some of the factors to consider when choosing a file format for your needs.

Choosing the right file format

Choosing the right 3D model file format is a crucial step in the 3D modeling process. The format you choose can impact everything from the quality of your model to the efficiency of your workflow.

Here are some factors to consider when making your choice:

Software compatibility: The first factor to consider is the software you’re using. Different 3D modeling, animation, and rendering software support different file formats. Some software may not support certain formats at all, or may only offer limited support.

Intended use of the 3D model: The purpose of your 3D model will also influence the best file format to use. For example, if you’re creating a model for 3D printing, a format like STL or OBJ that focuses on geometry might be suitable. If you’re creating a model for use in a video game or animation, you might need a format like FBX or USD that can include animation data.

Need for texture and color data: If your model includes detailed textures or color information, you’ll need to choose a file format that can support this data. Formats like OBJ, FBX, and Collada can include texture and color data, while formats like STL and PLY typically cannot.

Complexity of the 3D model: The complexity of your 3D model can also influence the best file format to use. If your model is simple and consists of basic geometric shapes, a simple format like STL or PLY might be sufficient. For more complex models with many different elements, a more advanced format like FBX or USD might be more suitable.

Trade-offs between different formats: Each file format has its own strengths and weaknesses, and there are often trade-offs to consider. For example, a format like FBX might offer advanced features and broad compatibility, but it might also result in larger file sizes compared to a simpler format like STL. Similarly, while a format like USD can handle complex scenes efficiently, it might be more complex to use and less widely supported than other formats.

In conclusion, there’s no one-size-fits-all answer when it comes to choosing a 3D model file format. The best format depends on your specific needs and circumstances. By understanding the different options available and considering the factors discussed above, you can make an informed choice that will help you achieve the best results for your 3D project.

The future of 3D file formats

As we look towards the future of 3D modeling, it’s clear that advancements in technology will continue to shape and influence the development of 3D model file formats. Here are some emerging trends that could potentially impact the future of these formats:

Virtual Reality (VR): VR is transforming the way we interact with digital spaces. The future of 3D modeling in VR is about creating fully interactive, photorealistic models and environments. This could lead to the development of new file formats designed to support the unique requirements of VR, such as high performance, low latency, and support for complex, interactive models.

3D printing: The 3D printing industry is growing rapidly, and as it evolves, we can expect to see advancements in the file formats used. Future developments could include support for new materials, more detailed geometric data, and perhaps even the ability to include information about the physical properties of the materials being printed.

Augmented Reality (AR) and Mixed Reality (MR): AR and MR technologies are blurring the line between the physical and digital worlds. The future of 3D modeling in these areas could involve creating interactive, photorealistic holograms that can interact with the real world. This could necessitate new file formats that can support these interactions and seamlessly integrate digital models into our physical environment.

Virtual 3D modeling: The process of creating 3D models is also evolving, with new technologies like VR and AR enabling more intuitive and immersive modeling experiences. This could lead to the development of new file formats designed to support these new ways of modeling, such as formats that can be used with VR or AR modeling tools.

Conclusion

Throughout this article, we’ve explored a wide range of 3D model file formats, each with its unique features, applications, and trade-offs. We’ve seen how the choice of format can impact the quality of your model, the efficiency of your workflow, and the compatibility of your work with different software and technologies.

We’ve also looked to the future, considering how emerging trends in technology, such as virtual reality, augmented reality, 3D printing, and virtual modeling, could influence the development of new and existing file formats. As these technologies continue to evolve, we can expect to see ongoing innovation in 3D model file formats, with new formats emerging to meet the unique requirements of these cutting-edge applications.

Understanding these file formats and the factors that influence their use can provide significant benefits, regardless of your field. For 3D artists, game developers, engineers, and anyone else working with 3D models, this knowledge can help you choose the right format for your needs, ensuring that your models are accurate, detailed, and compatible with your chosen software and hardware. For those in emerging fields like VR, AR, and 3D printing, understanding these formats can help you stay at the forefront of these exciting technologies.

In conclusion, while the world of 3D model file formats can be complex, it’s also a world of incredible potential. By taking the time to understand these formats, we can unlock that potential and push the boundaries of what’s possible in 3D modeling and design. Whether you’re creating a simple 3D printed object, a complex animated character for a video game, or an immersive virtual reality experience, the right 3D model file format is a key piece of the puzzle.

The post The Hitchhiker’s guide to understanding digital 3D model file formats appeared first on Alpha3D.

The global market size of augmented reality (AR) and virtual reality (VR) is forecast to hit $296.9 billion in 2024, indicating a significant increase in the adoption and application of these technologies. Furthermore, the global VR/AR market is expected to see a 77% compound annual growth rate from 2019-2023.

In this context, tools like Alpha3D and Spatial have emerged as game-changers.

In this article, we’ll take you though a tutorial on how to use Alpha3D and Spatial together to create an immersive experience for free. We’ll also look at some of the potential use cases for this workflow.

Take a tour of our Alpha3D showroom in spatial.

Understanding Alpha3D and Spatial

Alpha3D is an AI-powered platform that democratizes the process of creating 3D models, allowing users to transform 2D images or text prompts into 3D assets.

On the other hand, Spatial is a platform that allows users to share and explore 3D experiences across various platforms including web and VR. It offers a wide range of features including a Creator Toolkit powered by Unity, avatar customization, the ability to build your own 3D world, and hosting tools for virtual events.

Together, Alpha3D and Spatial provide a comprehensive solution for creating and experiencing 3D content. Alpha3D allows users to easily create 3D models from 2D images or text prompts, and Spatial provides a platform where these models can be brought to life in an immersive 3D environment. This combination of tools opens up a world of possibilities for various professionals, from digital artists and educators to marketers.

Step-by-Step guide to creating an immersive space with Alpha3D and Spatial

First off, we’re going to create our 3D model. Generating 3D models with Alpha3D AI Labs is a straightforward process.

Here’s a step-by-step guide:

1. Sign up to a free account on Alpha3D website. Your first 50 3D models are free.

2. Upload a 2D Image or use a text prompt to generate a 3D model. Alpha3D will automatically transform it into a 3D asset.

3. Wait for the transformation process. After uploading the image, Alpha3D’s AI will start the rendering process in the background. The time it takes will depend on the complexity of the image but it averages around the 5 minute mark.

4. Download your 3D model. Once the 3D model is ready, you can view and interact with it, and if you’re happy with the result, download it. You can download the file in .glb, .fbx and/or .usd format.

Once you have your 3D models ready from Alpha3D, you can import them into Spatial to create your 3D world.

Here’s a step-by-step guide:

1. Visit the Spatial website and sign up for a free account.

2. Start a new space. Navigate to the “Create a space” button at the top right of your screen and start a new space. You’ll see some template spaces to choose from and customize. This will be the 3D world where you’ll import your 3D models.

3. Import a 3D model. Upload the 3D model file that you downloaded from Alpha3D by clicking on the “+” button at the bottom of your screen.

4. Place your 3D model. Once the model is uploaded, you can drag and place it within your environment. You can adjust its size, orientation, and position as needed by double clicking on the 3D model.

We’ve created an Alpha3D showroom on Spatial that you can visit and roam around in.

Practical Applications

The combination of Alpha3D and Spatial can be beneficial to various professionals. Here’s how different demographics can use this workflow:

Digital artists and designers

Digital artists and designers can use Alpha3D and Spatial to create immersive 3D experiences for their projects. They can transform their 2D sketches or designs into 3D models using Alpha3D and then import these models into Spatial to create a virtual environment. This can be particularly useful for presenting their work to clients or for creating interactive art installations.

Educators and trainers

Educators and trainers can use these tools to create interactive, immersive learning experiences. For example, a history teacher could create a 3D model of a historical artifact using Alpha3D and then create a virtual museum in Spatial where students can explore and interact with the artifact. Similarly, corporate trainers could create 3D models of equipment or facilities for virtual training sessions.

Marketers and advertisers

Marketers and advertisers can use Alpha3D and Spatial to create engaging, interactive promotional materials or virtual showrooms. For example, a marketer could create 3D models of products using Alpha3D and then set up a virtual store in Spatial where customers can explore the products in a 3D environment.

Real estate professionals and interior designers

Real estate professionals can use these tools to create virtual tours of properties or developments. They can create 3D models of furniture using Alpha3D and then set up a virtual tour in Spatial where potential buyers can explore the property in a 3D environment.

Event planners

Event planners can use these tools to create virtual events or experiences. For example, they could create 3D models of a venue using Alpha3D and then set up a virtual event in Spatial where attendees can explore the venue and interact with each other.

These are just a few examples of how different professionals can use the workflow of Alpha3D and Spatial. The possibilities are virtually endless, and as these technologies continue to evolve, they are likely to open up even more opportunities.

Conclusion

The digital landscape is evolving at a rapid pace, and technologies like 3D modeling and virtual reality are at the forefront of this evolution. Tools like Alpha3D and Spatial are making these technologies more accessible, allowing a wide range of professionals to create and experience immersive 3D content.

Whether you’re a digital artist looking to present your work in a new way, an educator aiming to create interactive learning experiences, or a marketer wanting to set up a virtual showroom, the combination of Alpha3D and Spatial offers a powerful solution.

This article has guided you through the process of using these two innovative tools together, from creating 3D models with Alpha3D to bringing them to life in a 3D world with Spatial. The step-by-step guides provided should help you get started with these tools, regardless of your level of expertise in 3D modeling or virtual reality.

As we move further into the digital age, the ability to create and experience 3D content is becoming increasingly important. By exploring the possibilities of Alpha3D and Spatial, you can stay ahead of the curve and make the most of the opportunities these technologies offer.

The post 2D image to Virtual Reality: A step-by-step guide to using Alpha3D with Spatial appeared first on Alpha3D.

In this article, we will delve into the world of 3D modeling, looking at some popular traditional methods, exploring their applications, pros and cons, and examining how AI is shaping the future of 3D content creation.

Let’s dig in.

What is 3D modeling?

3D modeling is the process of creating an interactable digital model of any object or surface, either real-life representation or abstract, within a three-dimensional (3D) space using specialized 3D rendering software.

What are 3D models used for?

3D models serve a multitude of purposes across various fields. In the entertainment industry, they bring life to characters, environments, and props in films and video games.

Industrial designers utilize them to visualize and prototype products, while architects and engineers employ them to plan structures and identify potential construction issues.

The medical field uses 3D models for detailed visualization of biological processes, aiding both research and patient education.

In the realm of education, they help students grasp complex concepts, and in marketing, they create engaging product visuals.

3D models are also becoming increasingly popular in e-commerce to enable virtual-try on (VTO) for wearables.

Additionally, the immersive environments of Virtual Reality (VR) and Augmented Reality (AR) are all built on 3D models, and in the world of 3D printing, they form the blueprint for physical objects.

If you’d like to learn more, wrote an article about how 3D is used across different industries in 2023.

What are the traditional methods of creating 3D models?

Box Modeling

This is a basic technique where the 3D artist starts with a primitive (like a cube) and then refines its shape by subdividing the surface and manipulating vertices, edges, and faces.

(Image from Information Transformation Services)

Where and for which use cases is Box Modeling used?

Industries: Video games, animation, product design.

Use cases: Creating characters, props, and environment elements for games and animations.

Model types: Characters, props, environment elements, basic product models.

Pros of using Box Modeling:

Intuitive for beginners, good for creating basic shapes and structures, widely supported by 3D software.

Cons of using Box Modeling:

Can be time-consuming for complex models, requires good understanding of topology for best results.

Some of the popular tools used for Box Modeling:

• Autodesk 3ds Max
• Blender
• Cinema 4D

Polygonal Modeling

In this method, the artist constructs the 3D model by specifying and connecting its constituent pieces (polygons). It’s a bit like creating a paper model, but in a digital space.

(Image from Ebal Studios)

Where and for which use cases is Polygonal Modeling used?

Industries: Film, animation, video games.

Use cases: Creating detailed and complex models for films, animations, and games.

Model types: Characters, props, vehicles, environment elements.

Pros of using Polygonal Modeling:

Allows for great control over details, widely used and supported by most 3D software, good for creating both organic and hard-surface models.

Cons of using Polygonal Modeling:

Can be time-consuming, requires good understanding of topology, not ideal for creating smooth, curved surfaces.

Some of the popular tools used for Polygonal Modeling:

• Autodesk Maya
• Autodesk 3ds Max
• Blender
• Modo

NURBS or Curve Modeling

NURBS (Non-Uniform Rational B-Splines) or curve modeling uses curves and surfaces defined by mathematical functions. This method is often used in automotive and industrial design.

(Image from Vform Design)

Where and for which use cases is NURBS/Curve modeling used?

Industries: Automotive design, industrial design, product design.

Use cases: Creating smooth, precise, and complex surfaces for products and vehicles.

Model types: Cars, boats, aircraft, consumer products.

Pros of using NURBS/Curve Modeling:

Ideal for creating smooth, precise, and complex surfaces, widely used in industrial design, allows for easy modifications.

Cons of using NURBS/Curve Modeling:

Less intuitive than polygonal modeling, not ideal for creating complex organic shapes, requires mathematical understanding.

Some of the popular tools used for NURBS/Curve modeling:

• Rhinoceros 3D
• Autodesk Alias
• Siemens NX

Sculpting

Digital sculpting is a more artistic method where the 3D modeler “sculpts” the 3D model in a way that’s similar to sculpting play-dough in the real world.

(Image from The Rookies)

Where and for which use cases is 3D Sculpting used?

Industries: Film, video games, toy design.

Use cases: Creating highly detailed characters and creatures for films and games, designing toys.

Model types: Characters, creatures, organic forms, high-detail props.

Pros of using 3D Sculpting:

Allows for high levels of detail, intuitive for artists with traditional sculpting background, ideal for creating organic shapes.

Cons of using 3D Sculpting:

Requires powerful hardware for high-resolution models, not ideal for creating precise, hard-surface models, often requires retopology for animation or game use.

Some of the popular tools used for 3D Sculpting:

• ZBrush
• Mudbox
• Blender’s sculpting tools

CAD Modeling

CAD (Computer-Aided Design) modeling is often used in engineering and industrial design. It involves creating precise, mathematical models, often using features like extrusions, revolutions, sweeps, and lofts.

(Image from Autodesk)

Where and for which use cases is CAD used?

• Industries: Engineering, architecture, industrial design.
• Use cases: Designing and prototyping products, creating architectural models, designing mechanical parts.
• Model types: Mechanical parts, architectural models, product designs.

Pros of using CAD:

Ideal for creating precise, mathematical models, widely used in engineering and architecture, allows for parametric design.

Cons of using CAD:

Steep learning curve, not ideal for creating organic shapes, requires understanding of engineering principles.

Some of the popular tools used for CAD:

• AutoCAD
• SolidWorks
• Fusion 360

Procedural Modeling

This method uses algorithms and mathematical functions to automatically create 3D models. It’s often used for creating complex scenes like landscapes or cityscapes.

(Image from Unreal Engine)

Where and for which use cases is Procedural Modeling used for?

Industries: Film, video games, visual effects.

Use cases: Creating complex scenes like landscapes or cityscapes, generating large amounts of content quickly.

Model types: Landscapes, cityscapes, fractal geometry, complex patterns.

Pros of using Procedural Modeling:

Allows for creating complex models or scenes quickly, ideal for creating large amounts of content, allows for non-destructive workflows.

Cons of using Procedural Modeling:

Requires understanding of algorithms and mathematical functions, less control over individual details, can be computationally intensive.

Some of the popular tools used for Procedural Modeling:

• Houdini
• Blender’s geometry nodes

Image-Based Modeling

This technique uses 2D images or photographs to create 3D models. It often involves techniques like photogrammetry, where multiple overlapping photographs are taken of the object or scene and in order to create a panorama and stitch it together into a 3D model of an object or surface.

(Image from UMBC)

Where and for which use cases is Image-Based Modeling used for?

Industries: Archaeology, architecture, film, video games.

Use cases: Creating 3D models from photographs, digitizing real-world objects and locations.

Model types: Buildings, terrain, real-world objects.

Pros of using Image-Based Modeling:

Allows for creating 3D models from photographs, ideal for digitizing real-world objects and locations, can produce highly realistic results.

Cons of using Image-Based Modeling:

Requires high-quality source images, can be time-consuming, results can vary based on lighting and quality of source images.

Some of the popular tools used for Image-Based modeling:

• Agisoft Metashape
• RealityCapture
• Autodesk ReCap

Retopology

This is a method often used in conjunction with digital sculpting. After a high-resolution model is sculpted, it’s often necessary to create a lower-resolution version for practical use. This process of creating a new, optimized mesh is called retopology.

(Image from WKU)

Where and for which use cases is Retopology used for?

Industries: Film, video games, animation.

Use cases: Optimizing high-resolution models for animation or game engines, cleaning up scanned or sculpted models.

Model types: Optimized versions of characters, creatures, props, and other models.

Pros of using Retopology:

Allows for optimizing high-resolution models for animation or game use, can improve the deformations of a model, essential for professional workflows.

Cons of using Retopology:

Can be time-consuming, requires understanding of good topology, can be a repetitive process.

Some of the popular tools used Retopology:

• TopoGun
• Blender’s retopology tools
• ZBrush’s ZRemesher

Innovation in 3D modeling is largely driven by the common struggles of traditional methods

Although, traditional methods provide extremely high-quality results for their respective use cases, you might have notices a few common denominators there, when it comes to the downside. Most of these methods:

  Have a steep learning curve and are not accessible to everyone: Each method has its own unique techniques and principles that need to be learned, and mastering a 3D modeling software can take a significant amount of time and practice.

Are time-consuming: Many of these methods can be quite time-consuming, especially when creating detailed or complex models. This includes the process of creating the mesh model itself, as well as refining and optimizing it.

Have hardware requirements: Several of these methods, especially those that involve creating high-resolution models or complex scenes, can be resource-intensive and require powerful hardware to run effectively.

Balance of artistic and technical skills: 3D modeling often requires a balance of artistic and technical skills. Artists need to understand the principles of form, shape, and proportion, but also need to master the technical aspects of 3D software.

Have limitations: Each method has its own limitations and is better suited to certain types of models or tasks. For example, some methods are better for creating organic shapes, while others are better for hard-surface models.

Need multiple methods to be mixed: Often, a single method is not sufficient to create a model or a scene, and artists need to use a combination of methods. This requires learning and mastering multiple techniques and tools.

With that being said, I’d like to introduce a rather disruptive method of generating 3D models – a method that is aiming to tackle these challenges – to the equation:

Generative AI-powered 3D model creation

Compared to the 8 traditional methods listed above, AI-powered 3D model generation is a fairly new player to this field. However, it’s developing and improving extremely fast, and is definitely something for professionals working with and producing 3D models to keep an eye out for.

It has to be noted, the quality of AI-produced 3D models cannot compete with manual methods today, although it’s quickly moving in that direction. And although it can make the workflow of creating 3D models a lot faster today, it still needs post-production touch ups from a 3D artist.

Please note, in this part of the article, specifically when talking about pros, cons and use cases, we’re also considering the potential of this technology.

The future of 3D model generation looks like an exciting time to be alive. Let’s take a look at the AI-powered 3D model generation landscape today!

AI in 3D modeling

Based on the input needed from the end-user, AI-powered 3D model generation can be categorised into 3 subcategories:

Text-to-3D: This method uses Natural Language Processing (NLP) to convert textual descriptions into 3D models. AI algorithms interpret the text and generate a corresponding 3D model automatically in the background. This method is particularly useful for quickly prototyping designs or for users who may not have extensive 3D modeling skills.

Image-to-3D: This method uses AI to convert 2D images into 3D models. The AI analyzes the image and uses depth perception and object recognition to create a 3D model. This method is useful for digitizing real-world objects or creating 3D assets from 2D concept art.

Video-to-3D: This method uses AI to convert video footage into 3D models or environments. The AI analyzes the video, tracking the movement of objects and people to create a 3D representation. This method is particularly useful for motion capture and creating 3D environments from real-world footage.

Benefits and limitations of AI-powered 3D content generation

With the 3D model output and experience for the end-user being largely similar with all 3 aforementioned AI-powered methods – the only difference from the user’s perspective being the input format – I’ll go through the pros and cons of Generative AI-powered 3D model creation method as a whole:

Pros of using AI-powered 3D content generation:

Faster: AI can generate 3D models much faster than manual methods.

Cheaper: It can be up to 100 times cheaper per model compared to traditional 3D creation methods.

Accessibility/no expertise needed (potential): The process is simple and user-friendly, and doesn’t require 3D modeling expertise or a team of 3D designers. To note, we marked this as a potential pro, as many of the AI-powered 3D model creation tools are not accessible to the everyday user, with limited or no coding and/or 3D modeling experience. However, at Alpha3D, we have released a demo category (shoes) to the public, that you can go and play around with for free today using either text prompts or single shot 2D images.

Scalable: AI can generate 3D models at scale, making it ideal for large projects or for businesses that need to create a large number of 3D models.

Unlocking creativity: AI, specifically natural language to 3D, has the potential to unlock novel ways of adding the extra sprinkle to visualizing and shaping the world around us. These tools have the potential to help remove the repetitive manual tasks of 3D content creation, enabling 3D designers to fully focus on the creative part of the process.

Cons of AI-powered 3D content generation:

Limited control: While AI can generate 3D models automatically, it may not offer the same level of control over manipulating the details of the model as manual methods.

Quality: As previously mentioned, the quality of AI-generated 3D models can’t compete with traditional methods today. Additionally, hallucinations may occur at times.

New technology: As a relatively new technology, there may be limitations and challenges that are not present in more established, traditional methods.

Where and for which use cases can AI generated 3D models be used for?

Industries: Retail, e-commerce, gaming, VR/AR, film, and animation.

Use cases: Creating 3D product models for online retail and e-commerce (for example VTO), creating 3D assets for games and virtual reality experiences, digitizing real-world objects for use in films and animations.

Final thoughts

In conclusion, it’s safe to say the landscape of 3D modeling is undergoing a significant transformation. While traditional methods, ranging from box modeling to retopology, have served us well and continue to be vital in certain applications, the advent of AI-generated 3D modeling is undeniably reshaping the field.

AI-generated 3D model creation methods, are democratizing 3D modeling, making it faster, more cost-effective, and accessible to a wider audience.

As we continue to explore the capabilities of AI in 3D modeling, we can anticipate a future where the creation of 3D models becomes even more intuitive and efficient.

However, it’s important to remember that each method has its own strengths and applications, and the choice between traditional and AI-generated methods will depend on the specific needs and constraints of the project at hand.

The post Creating 3D models: A deep dive into traditional and AI-generated 3D modeling methods appeared first on Alpha3D.

About Alpha3D and TRYME

Alpha3D has made a name for itself by transforming text prompts or 2D images into 3D digital assets in mere minutes. The platform breaks down barriers by allowing anyone, regardless of their 3D modeling knowledge, to create digital assets in a cost-effective and timely manner. It is as simple as using text prompts or uploading 2D images to the Alpha3D app, and the AI handles the rest. The digital assets, which are compatible with any 3D environment, can be used in various applications, from Augmented Reality (AR), Virtual Reality (VR), and Virtual Try-On (VTO) to gaming, the Metaverse, and even as NFTs.

On the other side of this partnership, TRYME offers a seamless AR experience using its virtual try-on solution. Their plug-and-play software, powered by face AR technology, provides real-time interactions for customers across websites, e-commerce platforms, and in-store experiences. This ability for customers to virtually try on an entire eyewear collection on any device adds a new level of engagement to the retail experience.

You can virtually try on eyewear with TRYME here.

The Essence of The Partnership

In this partnership, TRYME will cooperate in the training of Alpha3D’s AI on complex eyewear. This will enable Alpha3D to further train its generative AI, refining its ability to automatically generate high quality 3D models of glasses and sunglasses from single shot 2D image inputs in minutes.

“This partnership is a monumental step forward for both companies,” stated Madis Alesmaa, CEO at Alpha3D. “The fusion of TRYME’s comprehensive 3D model data with our generative AI technology will revolutionize how eyewear models are created and presented to customers.”

Impact of The Partnership

This partnership will reshape the customer experience in the eyewear industry. With TRYME’s extensive 3D eyewear model expertise and Alpha3D’s powerful generative AI, the ability to create a wide array of 3D eyewear models will be significantly accelerated and simplified. This will streamline the process of creating diverse eyewear collections for virtual try-on experiences, making it more accessible and immersive for customers.

Looking ahead, this partnership aligns with both Alpha3D’s and TRYME’s strategic direction of pushing the boundaries of technology to create the best possible customer experience, driving innovation and transforming the way products are digitally visualized.

The post Alpha3D and TRYME partner up to revolutionize AI-generated 3D eyewear appeared first on Alpha3D.