facebookresearch/lamp — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2026-06-18
Reconstruct a person's 3D body pose in real space from multiple headset-mounted camera feeds
Track player movement for mixed reality games or social VR applications
Run motion capture research using the released pretrained model and sample test footage
| facebookresearch/lamp | cortex-trading-systems/polymarket-copy-trading-bot-clob-ai | gyj1201/zipenhancer | |
|---|---|---|---|
| Stars | 51 | 51 | 51 |
| Language | Python | Python | Python |
| Last pushed | 2026-06-18 | — | — |
| Maintenance | Active | — | — |
| Setup difficulty | hard | hard | moderate |
| Complexity | 4/5 | 3/5 | 3/5 |
| Audience | researcher | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires GPU and headset hardware like Meta Quest or Project Aria for full functionality, installation script handles GPU library setup.
A research system that reconstructs a person's 3D body movement in real space using multiple headset-mounted cameras, useful for VR, motion capture, and fitness tracking.
Mainly Python. The stack also includes Python, PyTorch.
Active — commit in last 30 days (last push 2026-06-18).
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
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