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roomform
jchiu/roomform
roomform is a machine learning model from jchiu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for roomform. The card lists the license as cc-by-nc-4.0.
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-e…
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Updated Aug 6, 2026
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329 MB
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At a glance
- Library
- roomform
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026
- SHA
- 219272c2
Model card
From the Hugging Face model README
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.
- Library
- roomform
- License
- cc-by-nc-4.0
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026