facebookresearch/vggt
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #514 of 2,845 repositories GStars tracks this week (top 18%).
The project lists 10 contributors on GitHub.
Gained 37% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Infers 3D scene attributes including camera parameters, depth maps, and point maps from one or multiple images using a feed-forward transformer.
- Delivers fast, accurate 3D reconstruction within seconds and supports commercial use with a dedicated checkpoint.
- Use for rapid multi-view 3D reconstruction and camera pose estimation in robotics or AR applications.
- Use for zero-shot single-view 3D scene reconstruction without requiring paired training data.
- Use for exporting 3D data in COLMAP format to integrate with Gaussian Splatting or NeRF-based rendering pipelines.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
Visual Geometry Grounded Transformer (VGGT, CVPR 2025) is a feed-forward neural network that directly infers all key 3D attributes of a scene, including extrinsic and intrinsic camera parameters, point maps, depth maps, and 3D point tracks, from one, a few, or hundreds of its views, within seconds.
First, clone this repository to your local machine, and install the dependencies (torch, torchvision, numpy, Pillow, and huggingface_hub).
Alternatively, you can install VGGT as a package (click here for details).
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.6K+46
Open issues
286+11
Compared with peers in Backend
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
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| NationalSecurityAgency/ghidra | 93.2K | +7.5K | 75 | today |
| DuarteSantos8/openGym | 14.9K | +4.4K | 59 | 12 days ago |
| K-Dense-AI/scientific-agent-skills | 53.9K | +3.2K | 75 | 21 days ago |
| 666ghj/MiroFish | 80.7K | +2.4K | 23 | 226 days ago |
| anthropics/claude-plugins-official | 43.9K | +2.3K | 35 | — |
| facebookresearch/vggt | 14.5K | +0 | 75 | — |
| Category median | 53.9K | +3.2K | 59 | — |
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