Hunyuan3D-2mv
| Property | Value |
|---|---|
| Author | Tencent |
| Paper | arXiv:2501.12202 |
| Framework | PyTorch/Diffusers |
| License | Research Preview |
What is Hunyuan3D-2mv?
Hunyuan3D-2mv is an advanced 3D asset generation model developed by Tencent, specifically designed for creating high-resolution textured 3D assets. It's a specialized version of Hunyuan3D-2, fine-tuned to support multi-view controlled shape generation, allowing users to generate 3D models from multiple image perspectives.
Implementation Details
The model is implemented using the Diffusers framework and employs a DIT (Diffusion Transformer) architecture combined with flow matching. It operates with an octree resolution of 380 and supports batch processing through chunking (default 20000 chunks). The implementation leverages CUDA acceleration for optimal performance.
- Multi-view support (front, left, back perspectives)
- Configurable inference steps (recommended: 30 steps)
- High-resolution output capabilities
- Trimesh output format support
Core Capabilities
- Generate detailed 3D meshes from multiple 2D perspectives
- Create high-resolution textured 3D assets
- Support for controlled shape generation
- Efficient processing through octree-based representation
Frequently Asked Questions
Q: What makes this model unique?
The model's ability to generate 3D assets from multiple viewpoints while maintaining high resolution and texture quality sets it apart. It builds upon the successful Hunyuan3D architecture while adding multi-view control capabilities.
Q: What are the recommended use cases?
The model is ideal for 3D asset creation in gaming, virtual reality, architectural visualization, and any application requiring high-quality 3D model generation from multiple reference images. It's particularly useful when precise control over the generated shape from different angles is needed.
