license: cc-by-nc-4.0
tags:
- 3d
- point-cloud
- indoor-scene-understanding
- scene-reconstruction
library_name: roomform
roomform patch-graph ConvFormer
Boundary models for roomform: point cloud indoor scans in, room boundaries (walls, floors, ceilings — inferred through occlusion) out, as a patch graph over an 8 cm voxel lattice: 3 surface node classes + 13 forward-edge connectivity channels. See the repo's model docs for the architecture.
Checkpoints
| file | params | input | heads | notes |
|---|---|---|---|---|
patch-graph-joint-rgb-55m-offset-head-r2.pt |
55M | RGB, 11ch | offsets + door/window openings | default |
patch-graph-400-offset-isolated-r1.pt |
27M | grayscale, 9ch | offsets | lightweight |
Format: {"model": state_dict, "epoch": int, "config": {...}} — the
config dict loads directly via roomform.model.config.ModelConfig.
Usage
Drop a checkpoint into checkpoints/ in the repo (the pipeline
downloads the default automatically) and run:
uv run python -m roomform.pipe.e2e SCAN.ply
License
CC BY-NC 4.0 — free for research with attribution; commercial use requires a separate license (see the repo's LICENSE-WEIGHTS and CITATION.cff: Johnathan Chiu, Matthew Zhou, Preston Bourne). Trained entirely on synthetic data generated by the roomform internal data pipeline; no third-party dataset terms attach to the weights.