Papers › PCT: Point cloud transformer
PCT: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu
The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Transformer(PCT) for point cloud learning. PCT is based on Transformer, which achieves huge success in natural language processing and displays great potential in image processing. It is inherently permutation invariant for processing a sequence of points, making it well-suited for point cloud learning. To better capture local context within the point cloud, we enhance input embedding with the support of farthest point sampling and nearest neighbor search. Extensive experiments demonstrate that the PCT achieves the state-of-the-art performance on shape classification, part segmentation and normal estimation tasks.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 3D Part Segmentation | ShapeNet-Part | Point Cloud Transformer | Instance Average IoU | 86.4 | #29 of 67 | Archive leaderboard | report |
| 3D Point Cloud Classification | IntrA | PCT | F1 score (5-fold) | 0.914 | #2 of 12 | Archive leaderboard | report |
| 3D Point Cloud Classification | ModelNet40 | Point Cloud Transformer | Number of params | 2.88M | #70 of 111 | Archive leaderboard | report |
| 3D Point Cloud Classification | ModelNet40 | Point Cloud Transformer | Overall Accuracy | 93.2 | #70 of 111 | Archive leaderboard | report |
| 3D Point Cloud Classification | ModelNet40-C | PCT | Error Rate | 0.255 | #9 of 13 | Archive leaderboard | report |
| Point Cloud Classification | PointCloud-C | PCT | mean Corruption Error (mCE) | 0.925 | #15 of 24 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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