

Edify 3D
Overview :
Edify 3D is an AI-driven 3D asset generation technology launched by NVIDIA, capable of producing detailed, production-ready 3D assets in just two minutes. These assets include well-organized UV mapping, 4K textures, and PBR materials. Utilizing multi-view diffusion models and Transformer-based reconstruction, Edify 3D can synthesize high-quality 3D assets from text prompts or reference images with outstanding efficiency and scalability. It is crucial for industries such as video game design, augmented reality, filmmaking, and simulation that require strict production standards.
Target Users :
The target audience for Edify 3D includes 3D artists, game designers, filmmakers, and simulation experts who need to create high-quality 3D content that meets strict production standards. This technology enables these professionals to work more efficiently by reducing the time and expertise required to create high-quality 3D assets, allowing for rapid iteration and experimentation with new designs.
Use Cases
Game designers rapidly create 3D models of in-game characters and environments using Edify 3D.
Filmmakers leverage Edify 3D to create complex props and scenes used in their films.
Simulation experts utilize Edify 3D to mimic real-world objects for AI system training.
Features
- Generates meshes with detailed geometry, clear textures, and defined reflectance colors.
- Supports synthesis of high-quality 3D assets from text prompts or reference images.
- Leverages multi-view diffusion models and Transformer-based reconstruction technologies.
- Produces adaptive and organized quadrilateral mesh topology for easy editing and rendering.
- Integrates into 3D workflows with high visual fidelity and flexibility.
- Supports the generation of complex 3D scenes starting from simple text prompts.
- Utilizes large language models (LLMs) to define scene layouts, object placement, and size for coherent and realistic compositions.
How to Use
1. Visit the official Edify 3D website to understand the product overview.
2. Provide text prompts or reference images based on the type of 3D assets needed.
3. Use Edify 3D's multi-view diffusion model to generate RGB images from multiple perspectives.
4. Input these images into multi-view ControlNet to synthesize the corresponding surface normals.
5. Combine the RGB and normal images, using a reconstruction model to predict neural 3D representations as latent variables.
6. Create the object's geometry through iso-surface extraction and mesh post-processing.
7. To enhance texture quality, utilize mesh rasterization-based upsampling ControlNet to produce high-resolution multi-view RGB images and then project them back onto the texture map.
8. Download the generated 3D assets and perform further editing and rendering as needed.
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