Introduction PyTorch implementation for the paper ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation (CVPR 2022). Repository still under construction/refactoring. Installation Install Requirements $ cd ART-Point/ $ conda env create -f environment.yaml Download ModelNet40 and ShapeNet Parts We use two datasets: After downloading, you should convert the .txt dataset into numpy file (.npy). Then, you can use our code for training and evaluation.You can use the codes in “https://github.com/yanx27/Pointnet_Pointnet2_pytorch/tree/master/data_utils” for pre-pocessing. Pretraining Models We use the folloing […]

InstanceRefer InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual ReferringThis repository is for the ICCV 2021 paper and 1st method on ScanRefer benchmark [arxiv paper]. Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Zhen Li*, Shuguang Cui If you find our work useful in your research, please consider citing: @article{yuan2021instancerefer, title={Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual referring}, author={Yuan, Zhihao and Yan, Xu and Liao, Yinghong and […]

PAConv PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds by Mutian Xu*, Runyu Ding*, Hengshuang Zhao, and Xiaojuan Qi. Introduction This repository is built for the official implementation of: PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds (CVPR2021) [arXiv] If you find our work useful in your research, please consider citing: @inproceedings{xu2021paconv, title={PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds}, author={Xu, Mutian and Ding, Runyu and Zhao, Hengshuang and Qi, Xiaojuan}, […]