facebookresearch/vggt-omega

Health v2 · maintenance only

Flags: no_releases young no_license

Adoption not part of the score

4165 stars · 305 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

VGGT-Omega is a research library from Oxford VGG and Meta AI providing pretrained transformer models for 3D vision tasks such as camera pose estimation, depth estimation, and 3D reconstruction from images. It ships gated checkpoints on Hugging Face (access request required) plus a public demo space.

Use cases

• estimate camera poses from a set of images
• reconstruct 3D scenes from photos
• predict depth maps from images
• run feed-forward 3D geometry models in python
• generate point clouds from multi-view images
• try a 3D vision foundation model demo

When to choose

• you need state-of-the-art feed-forward 3D geometry predictions from images
• you want a research-grade model for camera pose, depth, or point map estimation
• you can obtain gated checkpoints and run GPU inference

When to avoid

• you need a permissively licensed model for commercial products (license is non-standard and checkpoints are gated)
• you need CPU-only or lightweight inference
• you require guaranteed benchmark-accurate performance, since reported 1B results may be inflated by benchmark contamination

Facets

library · maturity active

machine-learning deep-learning computer-vision image-processing computer-vision machine-learning deep-learning artificial-intelligence python cross-platform 3d-reconstruction visual-geometry transformer camera-pose-estimation depth-estimation point-cloud research-model cvpr checkpoint-gated gpu linux

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markdown · JSON · MCP: product_card(name="facebookresearch/vggt-omega")