microsoft/TRELLIS
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 7 contributors on GitHub.
Use Cases & Benefits
- Generates high-quality 3D assets from text or image prompts in multiple formats like Radiance Fields, 3D Gaussians, and meshes using a unified structured latent representation.
- Offers versatile output format selection and local 3D editing capabilities, surpassing existing 3D generation methods in quality and flexibility.
- Use for creating detailed 3D models from images for game development or virtual reality content.
- Use for generating 3D assets from textual descriptions to accelerate prototyping in design and animation workflows.
- Use for fine-tuning large-scale 3D generation models on custom datasets to develop specialized 3D content generation pipelines.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Code of conduct: present
Watch-outs
- No GitHub releases; pin a commit or tag instead of a release.
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From the README
TRELLIS is a large 3D asset generation model. It takes in text or image prompts and generates high-quality 3D assets in various formats, such as Radiance Fields, 3D Gaussians, and meshes. The cornerstone of TRELLIS is a unified Structured LATent (SLAT) representation that allows decoding to different output formats and Rectified Flow Transformers tailored for SLAT as the powerful backbones. We provide large-scale pre-trained models with up to 2 billion parameters on a large 3D asset dataset of 500K diverse objects. TRELLIS significantly surpasses existing methods, including recent ones at similar scales, and showcases flexible output format selection and local 3D editing capabilities which were not offered by previous models.
Check out our Project Page for more videos and interactive demos!
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.4K+107
Open issues
264+7
Compared with peers in Graphics
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| heygen-com/hyperframes | 82.3K | +4.0K | 75 | today |
| boykopovar/AnyPS5 | 52.6K | +1.9K | 59 | 10 days ago |
| mrdoob/three.js | 118.1K | +573 | 75 | 11 days ago |
| playcanvas/engine | 17.2K | — | 64 | 23 days ago |
| microsoft/TRELLIS | 14.2K | — | 75 | — |
| CadQuery/cadquery | 6.1K | — | 47 | 140 days ago |
| Category median | 52.6K | +1.9K | 64 | — |
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