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.

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.

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.

Alpha3D is one such platform that leverages AI technology to create 3D models from just a single shot image or text input.

In this article, we will look at the capabilities of both Alpha3D’s image and text to 3D generative AI. But before we dive in, let’s have a quick look at the process of generating 3D models with AI looks like:

AI-generated 3D models using a single shot 2D image input

Below you’ll find examples of 3D models generated with Alpha3D AI. The single-shot image used as input to generate the 3D model can be seen on the left.

View all the below AI-generated 3D models in augmented reality (AR).

AI-generated 3D models using text prompt input

For the below batch of 3D models, we used text prompts as input directly on Alpha3D platform. After receiving the text prompt, Alpha3D generates a selection of input images to pick from. We have highlighted the images we selected to convert into the 3D models below.

The post AI generated 3D models using images and text prompts for input (results included) appeared first on Alpha3D.

View the text-to-3D-model AI-generated 3D shoe in 3D or in AR here.

At the moment, we’ve only launched the natural language-based 3D modeling feature for one product category: shoes. We picked shoes as the first product category to train and test the AI on because that’s one of the more popular categories requested by our customers but also due to the volume of training data we had access to. However, we’ll be adding new categories, that we’re teaching the AI with at the moment, very soon.

The system is based on the latest advancements in machine learning, which enables the system to understand and interpret natural language descriptions. The AI then generates a 3D model of the shoe, taking into account factors such as color, material, texture, and style.

“We’re very excited to finally launch this new feature, that we’ve been working hard on in the background, to the public,” said Alpha3D CEO, Madis Alesmaa. “It represents a major breakthrough in the field of 3D modeling, and we believe it has the potential to revolutionize the way that people visualize and shape the world around us, by making it extremely fast and simple for anyone to generate 3D content, which at the moment is a massive bottleneck in the development and move to the Metaverse and introducing immersive spaces and experiences.”

The text-to-3D model generation system is incredibly user-friendly, with a simple interface that allows anyone to use it, regardless of their experience with 3D modeling software. Users simply input their text description of a shoe, and the system automatically generates a 3D model for them in real-time. The 3D models are immediately downloadable in a .glb and .usd format, meaning they can be manually modified and perfected as necessary.

One of the key benefits of this technology is its ability to save time and resources in the 3D modeling process. Traditional 3D modeling methods can be time-consuming and require specialized skills, but with the text-to-3D-model generation system, anyone can create a 3D shoe model quickly and easily.

“We believe that our technology has the potential to completely transform the way that 3D models are designed and created, and we’re excited to see how it will continue to evolve and improve in the future,” said Madis Alesmaa.

Alpha3D’s text-to-3D-model shoe generation system is now available. Sign up here to generate your first three AI-generated 3D models for free and experience the future of 3D modeling technology.

The post Alpha3D launches text-to-3D-model AI shoe generation appeared first on Alpha3D.

The partnership will accelerate the development of Alpha3D’s powerful new artificial intelligence (AI) solution to convert text or a 2D image of an object into a 3D digital asset for use in Augmented Reality (AR) and Virtual Reality (VR).

“One of the key aspects of the partnership is data sharing between the two platforms, which will allow us to significantly accelerate the training of our AI-powered 3D content creation platform. The tens of thousands of data points of input images and output 3D models we receive from Threedium on a monthly basis allow our AI to learn to automatically generate more accurate and better quality 3D digital assets at scale” says Madis Alesmaa, CEO at Alpha3D.

Creating 3D content from scratch is a notoriously costly, time-consuming, and complex process. Alpha3D’s mission is to turn it around and make 3D content creation accessible, fast and simple for everyone, regardless of their 3D modeling experience and knowledge. This will allow businesses to create ultra-realistic 3D digital assets in seconds from a flat image, by using state-of-the-art deep neural networks. Alpha3D AI Labs platform will be released to the public in March 2023.

“We’ve been pleasantly surprised by how fast the AI is able to learn from the learning data. The more data points we can train the AI with, the more accurate and better quality 3D models it’ll be able to produce independently” says Madis.

Alpha3D AI-generated 3D shoe (November 2022). Input 2D image on the left.

Alpha3D AI-generated 3D shoe (February 2023). Input 2D image on the left.

View Alpha3D AI-generated shoe in 3D or AR here.

“We’ve been working very closely together with Alpha3D for over a year now and we’re excited to be a part of this milestone in their journey. We are confident that this partnership will be defining in terms of the depth and richness of the quality of 3D content that can be produced in seconds at a very low cost. This will set the new standard for 3D content generation” added Mike Charalambous, CEO at Threedium.

The post Alpha3D and Threedium partner to make 3D content creation fast, affordable and simple appeared first on Alpha3D.