PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis

9 December 2021

Papers citing "PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis"

26 / 26 papers shown

Title
TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment Zehao Wang Yang Zhou Jinhai Xiang Yanjie Wang Xinwei He VLM 47 0 0 05 May 2025
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity Chengzhi Wu Yuxin Wan Hao Fu Julius Pfrommer Zeyun Zhong Junwei Zheng Jiaming Zhang Jürgen Beyerer 3DPC 54 0 0 28 Apr 2025
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining Yunze Liu Li Yi Mamba 45 2 0 01 Oct 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning Bin Ren Guofeng Mei D. Paudel Weijie Wang Yawei Li Mengyuan Liu Rita Cucchiara Luc Van Gool N. Sebe 3DPC 50 9 0 08 Jul 2024
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D Ali Bahri Moslem Yazdanpanah Mehrdad Noori Milad Cheraghalikhani G. A. V. Hakim David Osowiechi Farzad Beizaee Ismail Ben Ayed Christian Desrosiers 3DPC 78 1 0 20 May 2024
REPS: Reconstruction-based Point Cloud Sampling Guoqing Zhang Wenbo Zhao Jian Liu Xianming Liu 3DPC 33 0 0 08 Mar 2024
Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis Xingyilang Yin Xi Yang Liangchen Liu Nannan Wang Xinbo Gao 3DPC 31 3 0 20 Dec 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models Yaohua Zha Jinpeng Wang Tao Dai Bin Chen Zhi Wang Shutao Xia VLM 48 45 0 14 Apr 2023
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds Yong-xing He Hongshan Yu Zhengeng Yang Xiaoguang Liu Wei Sun Ajmal Mian ViT 3DPC 14 3 0 08 Mar 2023
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis Cheng Wen Jia-Li Long B. Yu Dacheng Tao 3DPC 40 7 0 10 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining Zekun Qi Runpei Dong Guo Fan Zheng Ge Xiangyu Zhang Kaisheng Ma Li Yi 38 117 0 05 Feb 2023
Dynamic Local Feature Aggregation for Learning on Point Clouds Zihao Li Pan Gao Hui Yuan Ran Wei 3DPC 27 3 0 07 Jan 2023
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? Runpei Dong Zekun Qi Linfeng Zhang Junbo Zhang Jian‐Yuan Sun Zheng Ge Li Yi Kaisheng Ma ViT 3DPC 29 84 0 16 Dec 2022
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation Dening Lu K. Gao Qian Xie Linlin Xu Jonathan Li 3DPC ViT 35 4 0 21 Sep 2022
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 46 31 0 21 Sep 2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition Qidong Huang Xiaoyi Dong Dongdong Chen Hang Zhou Weiming Zhang Kui Zhang Gang Hua Nenghai Yu 3DPC 32 12 0 16 Sep 2022
PointNorm: Dual Normalization is All You Need for Point Cloud Analysis Shen Zheng Jinqian Pan Chang-Tien Lu Gaurav Gupta 3DPC 40 7 0 13 Jul 2022
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling Kevin Tirta Wijaya Dong-Hee Paek Seung-Hyun Kong 3DPC 24 21 0 20 May 2022
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification Tao Lu Chunxu Liu You-ren Chen Gangshan Wu Limin Wang 3DPC 36 6 0 02 May 2022
Masked Autoencoders for Point Cloud Self-supervised Learning Yatian Pang Wenxiao Wang Francis E. H. Tay Wei Liu Yonghong Tian Liuliang Yuan 3DPC ViT 33 454 0 13 Mar 2022
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework Xu Ma Can Qin Haoxuan You Haoxi Ran Y. Fu 3DPC 19 583 0 15 Feb 2022
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning Siming Yan Zhenpei Yang Haoxiang Li Chen Song Li Guan Hao Kang G. Hua Qi-Xing Huang 3DPC 43 61 0 03 Jan 2022
Dual Transformer for Point Cloud Analysis Xian-Feng Han Yi-Fei Jin Hui Cheng Guoqiang Xiao ViT 36 73 0 27 Apr 2021
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 125 270 0 09 Sep 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 152 769 0 30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,109 0 02 Dec 2016