⚡雷峰网•Stalecollected in 3h
LegoOcc Reads Indoor 3D from Single RGB
#3d-perception#occupancy#open-vocabularylegoocclegocccvpr-2026hkust-gz
💡Label-free 3D indoor occ from 1 RGB image for robots
⚡ 30-Second TL;DR
What Changed
No 3D semantic labels; uses geometry-only supervision
Why It Matters
Lowers barriers for indoor robot perception, enabling label-free deployment in homes/offices with open-vocab queries.
What To Do Next
Download LegoOcc from arXiv:2602.22667 and test on ScanNet.
Who should care:Researchers & Academics
Key Points
- •No 3D semantic labels; uses geometry-only supervision
- •59.50 IoU/21.05 mIoU open-vocab on Occ-ScanNet
- •Poisson Gaussian-to-Occupancy + progressive temp decay
- •22.47 FPS on RTX 4090
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