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Running on Zero
Running on Zero
| title: LitePT | |
| emoji: 🧊 | |
| colorFrom: green | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version: 6.30.0 | |
| app_file: app.py | |
| short_description: 3D point cloud semantic segmentation with LitePT | |
| python_version: "3.10" | |
| startup_duration_timeout: 30m | |
| license: mit | |
| models: | |
| - prs-eth/LitePT | |
| # LitePT: Lighter Yet Stronger Point Transformer | |
| Gradio demo for [LitePT](https://github.com/prs-eth/LitePT) (CVPR 2026) — per-point semantic segmentation of indoor RGB scans (ScanNet / Structured3D checkpoints) and outdoor LiDAR sweeps (nuScenes checkpoint). Weights: [prs-eth/LitePT](https://huggingface.co/prs-eth/LitePT). Model code under MIT license (see `LICENSE-LitePT`). | |
| ## Example assets | |
| - `examples/nuscenes_sample.bin` — LiDAR sweep from the authors' demo dataset [prs-eth/LitePT_demo](https://huggingface.co/datasets/prs-eth/LitePT_demo) (MIT), originally from nuScenes. | |
| - `examples/icl_nuim_livingroom.ply` — the Open3D living-room fragment reconstructed from the [ICL-NUIM](https://www.doc.ic.ac.uk/~ahanda/VaFRIC/iclnuim.html) living-room scene (Handa et al., ICRA 2014), licensed **CC BY 3.0**; rotated to z-up for this demo. | |