Hunyuan3D-1
| Property | Value |
|---|---|
| Developer | Tencent |
| License | Tencent Hunyuan Community |
| Paper | arXiv:2411.02293 |
| Languages | English, Chinese |
| Tags | Text-to-3D, Image-to-3D, Diffusers |
What is Hunyuan3D-1?
Hunyuan3D-1 is a groundbreaking unified framework for both text-to-3D and image-to-3D generation. It employs a novel two-stage approach that combines efficiency with high-quality output generation. The model comes in two versions: a lite version for faster processing and a standard version for maximum quality.
Implementation Details
The framework operates in two distinct stages: First, it utilizes a multi-view diffusion model that generates multi-view RGB images in approximately 4 seconds. Second, it employs a feed-forward reconstruction model that converts these images into a 3D asset in about 7 seconds. The standard version contains 3x more parameters than the lite version, offering enhanced quality at the cost of longer processing time.
- Multi-view diffusion model for initial image generation
- Feed-forward reconstruction for 3D asset creation
- Integration with Hunyuan-DiT for text processing
- Support for both text and image inputs
Core Capabilities
- Fast generation time (10s for lite, 25s for standard on A100 GPU)
- High-quality 3D mesh output with up to 90,000 faces
- Bilingual support (English and Chinese)
- Texture mapping and rendering capabilities
- Memory-efficient options available
Frequently Asked Questions
Q: What makes this model unique?
The model's two-stage approach and rapid generation time set it apart. It achieves an optimal balance between speed and quality, significantly reducing generation time while maintaining high-quality output. User evaluations show it receives the highest preference across 5 metrics compared to other open-source 3D generation methods.
Q: What are the recommended use cases?
The model is ideal for 3D content creation from both text descriptions and reference images. It's particularly useful for artists and developers who need quick 3D asset generation with high quality. The lite version is recommended for faster processing with lower resource requirements, while the standard version is better for maximum quality output.
