| --- |
| 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](https://github.com/johnathanchiu/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](https://github.com/johnathanchiu/roomform/blob/main/roomform/model/README.md) |
| 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. |
|
|
