Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey

23 August 2023

Papers citing "Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey"

22 / 22 papers shown

Title
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 58 0 0 07 May 2025
A Data-Centric Approach to 3D Semantic Segmentation of Railway Scenes Nicolas Münger M. Ronecker Xavier Diaz Michael Karner Daniel Watzenig Jan Skaloud 3DPC 145 0 0 25 Apr 2025
Trainable Pointwise Decoder Module for Point Cloud Segmentation Bike Chen Woong Shin Antti Tikänmaki Hao Lu 3DPC 38 2 0 02 Aug 2024
Point Transformer V3: Simpler, Faster, Stronger Xiaoyang Wu Li Jiang Peng-Shuai Wang Zhijian Liu Xihui Liu Yu Qiao Wanli Ouyang Tong He Hengshuang Zhao 82 217 0 15 Dec 2023
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds Xu Yan Jiantao Gao Chaoda Zheng Chao Zheng Ruimao Zhang Shenghui Cui Zhen Li 3DPC 89 213 0 10 Jul 2022
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds Yushuang Wu Zizheng Yan Shengcai Cai Guanbin Li Yizhou Yu Xiaoguang Han Shuguang Cui 3DPC 3DV 33 16 0 22 Feb 2022
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions Jiachen Sun Qingzhao Zhang B. Kailkhura Zhiding Yu Chaowei Xiao Z. Morley Mao 3DPC 38 84 0 28 Jan 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu Zhifeng Kong Xudong Xu Liang Pan Dahua Lin DiffM BDL 222 121 0 07 Dec 2021
Multimodal Virtual Point 3D Detection Tianwei Yin Xingyi Zhou Philipp Krahenbuhl 3DPC 160 245 0 12 Nov 2021
Mix3D: Out-of-Context Data Augmentation for 3D Scenes Alexey Nekrasov Jonas Schult Or Litany Bastian Leibe Francis Engelmann 3DPC 164 154 0 05 Oct 2021
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation Mengxi Wu Hao Huang Yi Fang 3DPC 37 3 0 21 Sep 2021
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection Velat Kilic Deepti Hegde Vishwanath A. Sindagi A. Cooper M. Foster Vishal M. Patel 134 68 0 14 Jul 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 180 721 0 02 Mar 2021
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation Aoran Xiao Xiaofei Yang Shijian Lu Dayan Guan Jiaxing Huang 3DPC 29 48 0 01 Mar 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample Dogyoon Lee Jaeha Lee Junhyeop Lee Hyeongmin Lee Minhyeok Lee Sungmin Woo Sangyoun Lee 3DPC 148 74 0 03 Feb 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 126 268 0 07 Jan 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang Binh Yang Shenlong Wang R. Urtasun 3DPC 208 840 0 20 Dec 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 168 738 0 02 Mar 2020
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots Qi Chen Lin Sun Zhixin Wang Kui Jia Alan Yuille 3DPC 170 169 0 30 Dec 2019
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 122 270 0 09 Sep 2019
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection Benjin Zhu Zhengkai Jiang Xiangxin Zhou Zeming Li Gang Yu 3DPC 160 484 0 26 Aug 2019
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 14,103 0 02 Dec 2016