☆24Apr 13, 2023Updated 2 years ago
Alternatives and similar repositories for PointCAT
Users that are interested in PointCAT are comparing it to the libraries listed below
Sorting:
- Code for "Collect-and-Distribute Transformer for 3D Point Cloud Analysis"☆15Jun 8, 2023Updated 2 years ago
- Official implementation of the paper "Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space"☆37Jun 1, 2023Updated 2 years ago
- ☆12Aug 31, 2023Updated 2 years ago
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆114Mar 27, 2025Updated 11 months ago
- GeoSegNet:Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling☆13Jun 1, 2023Updated 2 years ago
- Official repo for: Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation (Neurocomputin…☆27Jun 14, 2024Updated last year
- Pyramid Point Cloud Transformer for Large-Scale Place Recognition☆49Jan 20, 2022Updated 4 years ago
- [CVPR 2022] SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation☆47Jun 9, 2022Updated 3 years ago
- Official PyTorch implementation of DeLA☆65Aug 26, 2025Updated 6 months ago
- Pytorch reproduction of the paper "FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis" (CVPR 18)☆17Jan 15, 2020Updated 6 years ago
- Benchmarking various sparse convolution libraries: MinkowskiEngine, SpConv, TorchSparse, and Open3D.☆13Apr 10, 2023Updated 2 years ago
- Adaptive Graph Convolution for Point Cloud Analysis☆125Oct 28, 2021Updated 4 years ago
- ☆22Dec 23, 2021Updated 4 years ago
- Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".☆56Mar 16, 2023Updated 3 years ago
- This is the official Pytorch implementation of our paper "PointNorm: Normalization is All You Need for Point Cloud Analysis""☆54Aug 28, 2023Updated 2 years ago
- (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds☆306Dec 25, 2023Updated 2 years ago
- This is the official MegEngine implementation of FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration…☆29Sep 17, 2022Updated 3 years ago
- ☆170Feb 7, 2023Updated 3 years ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆111Oct 25, 2023Updated 2 years ago
- Point Mamba☆132May 7, 2024Updated last year
- This is an open-source repository for semantic based point cloud tasks, and we aim to provide a comprehensive summary of various semantic…☆23Mar 4, 2025Updated last year
- BGPSeg: Boundary-Guided Primitive Instance Segmentation of Point Clouds☆27Apr 28, 2025Updated 10 months ago
- This is a PyTorch implementation of PointMetaBase proposed by our paper "Meta Architecure for Point Cloud Analysis"☆109Mar 14, 2023Updated 3 years ago
- PyTorch implementation of Pointwise Convolutional Neural Networks in CVPR 2018.☆12Aug 4, 2019Updated 6 years ago
- ☆27Mar 6, 2025Updated last year
- [NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis☆523Mar 19, 2025Updated last year
- PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889☆70Jul 9, 2020Updated 5 years ago
- The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).☆110Dec 19, 2023Updated 2 years ago
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆135Mar 26, 2025Updated 11 months ago
- Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points☆29Feb 26, 2020Updated 6 years ago
- [BMVC'21] 3D Object Tracking with Transformer☆22Aug 27, 2022Updated 3 years ago
- [Symmetry 2022] Code Release of PointSCNet: Point Cloud Structure and Correlation Learning based on Space Filling Curve guided Sampling☆13Feb 24, 2022Updated 4 years ago
- Implementation of the paper: ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification☆13Aug 31, 2024Updated last year
- Based on: https://arxiv.org/abs/2202.07453☆11Jan 15, 2023Updated 3 years ago
- PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)☆45Feb 14, 2022Updated 4 years ago
- Official WACV 2025 code for Point-GN: A non-parametric, training-free method for 3D point cloud classification using Gaussian Positional …☆15Jul 22, 2025Updated 7 months ago
- FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding☆118Feb 17, 2023Updated 3 years ago
- ☆25Nov 7, 2020Updated 5 years ago
- MetricConv: An adaptive convolutional neural network for graphs and meshes☆11May 8, 2022Updated 3 years ago