GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
GET3D is a generative model that directly generates explicit textured 3D meshes with complex topology, rich geometric details, and high fidelity textures.
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Product Information
Key Features of GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
GET3D generates high-quality 3D textured meshes with complex topology, rich geometric details, and high fidelity textures, and can be used in various industries such as film, gaming, architecture, and product design.
High-Quality 3D Textured Meshes
GET3D generates high-quality 3D textured meshes with complex topology, rich geometric details, and high fidelity textures.
Differentiable Surface Modeling
GET3D uses differentiable surface modeling to generate high-quality 3D meshes.
Differentiable Rendering
GET3D uses differentiable rendering to generate high-quality 2D images from 3D meshes.
2D Generative Adversarial Networks
GET3D uses 2D Generative Adversarial Networks to train the model from 2D image collections.
Open-Source
GET3D is an open-source project, and the code is available on GitHub.
Use Cases of GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
Film and animation
Gaming
Architecture
Product design
Pros and Cons of GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
Pros
- High-quality 3D textured meshes
- Complex topology and rich geometric details
- High fidelity textures
- Open-source
Cons
- Requires large amounts of training data
- Can be computationally expensive
- May require significant expertise to use
How to Use GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
- 1
Download the GET3D code from GitHub
- 2
Install the required dependencies
- 3
Prepare the training data
- 4
Train the model using the provided script
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
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