Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

v1v2 (latest)

Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

16 April 2019

Pedro Hermosilla

Tobias Ritschel

Timo Ropinski

ArXiv (abs)PDF HTML

Papers citing "Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning"

8 / 58 papers shown

Title
Differentiable Manifold Reconstruction for Point Cloud Denoising Shitong Luo Wei Hu 3DPC 81 134 0 27 Jul 2020
Learning Graph-Convolutional Representations for Point Cloud Denoising Francesca Pistilli Giulia Fracastoro D. Valsesia E. Magli 3DPC 136 76 0 06 Jul 2020
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss David J. Griffiths Jan Boehm Tobias Ritschel 3DPC 116 8 0 06 Apr 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis Xianzhi Li Ruihui Li Guangyong Chen Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 170 109 0 16 Mar 2020
Non-Local Part-Aware Point Cloud Denoising Chao Huang Ruihui Li Xianzhi Li Chi-Wing Fu 3DPC 82 9 0 14 Mar 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 93 149 0 25 Feb 2020
Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling Dongbo Zhang Xuequan Lu Hong Qin Ying He 3DPC 60 117 0 14 Feb 2020
Differentiable Surface Splatting for Point-based Geometry Processing Yifan Wang Felice Serena Shihao Wu Cengiz Öztireli O. Sorkine-Hornung 3DPC 130 303 0 10 Jun 2019