LitePT
This repository contains model weights for LitePT: Lighter Yet Stronger Point Transformer, a lightweight, high-performance 3D point cloud architecture.
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- Other
- Taille du fichier
- 69,8–983 MB
- Version
- vRevision a8e76e9
- Mis à jour
- 16 sept. 2026
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- 0
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- Hugging Face
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This repository contains model weights for LitePT: Lighter Yet Stronger Point Transformer, a lightweight, high-performance 3D point cloud architecture.
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1 sourceVérifié 1 sept.
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10 artefactsnuscenes-semseg-litept-large-v1m1/model/model_best.pth
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2 extraits--- license: mit pipeline_tag: image-segmentation library_name: pytorch tags: - point-cloud - point-cloud-backbone - graph-learning - pytorch authors: - Yuanwen Yue - Damien Robert - Jianyuan Wang - Sunghwan Hong - Jan Dirk Wegner - Christian Rupprecht - Konrad Schindler --- This repository contains model weights for **LitePT: Lighter Yet Stronger Point Transformer**, a lightweight, high-performance 3D point cloud architecture. LitePT embodies the simple principle "convolutions for low-level geometry, attention for high-level relations" and strategically places only the required operations at each hierarchy level. LitePT is equipped with a novel, parameter-free 3D positional encoding, PointROPE. The resulting model achieves state-of-the-art performance while being significantly more efficient. ## Paper & Resources - **Paper:** [LitePT: Lighter Yet Stronger Point Transformer](https://huggingface.co/papers/2512.13689) - **Arxiv:** [https://arxiv.org/abs/2512.13689](https://arxiv.org/abs/2512.13689) - **Project Page:** [https://litept.github.io/](https://litept.github.io/) - **Codebase:** [https://github.com/prs-eth/LitePT](https://github.com/prs-eth/LitePT) ## Models We release the pretrained model weights for the benchmarks we reported in our paper. ### Semantic segmentation | Model | Params | Benchmark | val mIoU | Config | Checkpoint | |:-|-:|:-:|:-:|:-:|:-:| | LitePT-S | 12.7M | NuScenes | 82.2 | [link](https://github.com/prs-eth/LitePT/blob/main/configs/nuscenes/semseg-litept-small-v1m1.py) | [Download](https://huggingface.co/yuanwenyue/LitePT/blob/main/nuscenes-semseg-litept-small-v1m1/model/model_best.pth) | | LitePT-S | 12.7M | Waymo | 73.1 |[link](https://github.com/prs-eth/LitePT/blob/main/configs/waymo/semseg-litept-small-v1m1.py) | [Download](https://huggingface.co/yuanwenyue/LitePT/blob/main/waymo-semseg-litept-small-v1m1/model/model_best.pth) | | LitePT-S | 12.7M | ScanNet | 76.5 |[link](https://github.com/prs-eth/LitePT/blob/main/configs/scannet/semseg-litept-small-v1m1.py) | [Download](https://huggingface.co/yuanwenyue/LitePT/blob/main/scannet-semseg-litept-small-v1m1/model/model_best.pth) | | LitePT-S | 12.7M | Structured3D | 83.6 | [link](https://github.com/prs-eth/LitePT/blob/main/configs/structured3d/semseg-litept-small-v1m1.py) | [Download](https://huggingface.co/yuanwenyue/LitePT/blob/main/structured3d-semseg-litept-small-v1m1/mod...
Source context: 0 downloads · 8 likes · Pipeline image-segmentation · Library pytorch · Repo prs-eth/LitePT
