PRNet: Self-Supervised Learning for Partial-to-Partial Registration

PRNet: Self-Supervised Learning for Partial-to-Partial Registration

27 October 2019

Yue Wang

Papers citing "PRNet: Self-Supervised Learning for Partial-to-Partial Registration"

15 / 165 papers shown

Title
Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration Xiang Li Lingjing Wang Yi Fang 3DPC 24 7 0 11 Sep 2020
PointNetLK Revisited Xueqian Li J. K. Pontes Simon Lucey 3DPC 26 10 0 21 Aug 2020
DeepGMR: Learning Latent Gaussian Mixture Models for Registration Wentao Yuan Benjamin Eckart Kihwan Kim Varun Jampani Dieter Fox Jan Kautz 3DPC 11 220 0 20 Aug 2020
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 137 183 0 22 Jul 2020
Pillar-based Object Detection for Autonomous Driving Yue Wang Alireza Fathi Abhijit Kundu David A. Ross C. Pantofaru Thomas Funkhouser Justin Solomon 3DPC 23 216 0 20 Jul 2020
Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes Lei Yang Wenxi Liu Zhiming Cui Nenglun Chen Wenping Wang 3DPC 16 16 0 19 Jul 2020
Unsupervised Learning of Global Registration of Temporal Sequence of Point Clouds Lingjing Wang Yi Shi Xiang Li Yi Fang 3DPC 19 3 0 17 Jun 2020
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration Zheng Dang Fei Wang Mathieu Salzmann 3DPC 14 19 0 08 Jun 2020
Deep Global Registration Chris Choy W. Dong V. Koltun 3DPC 20 464 0 24 Apr 2020
RPM-Net: Robust Point Matching using Learned Features Zi Jian Yew Gim Hee Lee 3DPC 31 434 0 30 Mar 2020
TEASER: Fast and Certifiable Point Cloud Registration Heng Yang Jingang Shi Luca Carlone 3DPC 142 658 0 21 Jan 2020
Tabulated MLP for Fast Point Feature Embedding Yusuke Sekikawa Teppei Suzuki 21 5 0 23 Nov 2019
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models Lin Gao Ling-Xiao Zhang Hsien-Yu Meng Yi Ren Yu-Kun Lai Leif Kobbelt 3DV 26 45 0 15 Oct 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 260 1,812 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016