Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform

17 April 2024

Papers citing "Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform"

23 / 23 papers shown

Title
TransforMatcher: Match-to-Match Attention for Semantic Correspondence Seungwook Kim Juhong Min Minsu Cho ViT 103 34 0 23 May 2022
Masked Autoencoders for Point Cloud Self-supervised Learning Yatian Pang Wenxiao Wang Francis E. H. Tay Wen Liu Yonghong Tian Liuliang Yuan 3DPC ViT 86 473 0 13 Mar 2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences Prune Truong Martin Danelljan Feng Yu Luc Van Gool 54 33 0 08 Mar 2022
Fast Point Transformer Chunghyun Park Yoonwoo Jeong Minsu Cho Jaesik Park 3DPC ViT 72 171 0 09 Dec 2021
Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization Jiahui Huang Tolga Birdal Zan Gojcic Leonidas Guibas Shihui Hu 3DPC 34 36 0 25 Nov 2021
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion Tong Wu Liang Pan Junzhe Zhang Tai Wang Ziwei Liu Dahua Lin 61 131 0 24 Nov 2021
PointMixer: MLP-Mixer for Point Cloud Understanding Jaesung Choe Chunghyun Park François Rameau Jaesik Park In So Kweon 3DPC 108 102 0 22 Nov 2021
CATs: Cost Aggregation Transformers for Visual Correspondence Seokju Cho Sunghwan Hong Sangryul Jeon Yunsung Lee Kwanghoon Sohn Seungryong Kim ViT 76 89 0 04 Jun 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas Guibas 3DPC 173 326 0 25 Apr 2021
Deep Implicit Templates for 3D Shape Representation Zerong Zheng Tao Yu Qionghai Dai Yebin Liu 54 117 0 30 Nov 2020
Point Transformer Nico Engel Vasileios Belagiannis Klaus C. J. Dietmayer 3DPC 176 1,994 0 02 Nov 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence Feng Liu Xiaoming Liu 3DPC 80 36 0 23 Oct 2020
3D Human Mesh Regression with Dense Correspondence Wang Zeng Wanli Ouyang Ping Luo Wentao Liu Xiaogang Wang 3DH 36 95 0 10 Jun 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 149 109 0 16 Mar 2020
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations Yang You Yujing Lou Chengkun Li Zhoujun Cheng Liangwei Li Lizhuang Ma Weiming Wang Cewu Lu 3DH 3DV 3DPC 48 69 0 28 Feb 2020
SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation Xiao Sun Zheng Lian Jianguo Xiao 3DPC 61 97 0 06 Nov 2019
Learning elementary structures for 3D shape generation and matching Theo Deprelle Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 61 187 0 13 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Mikaela Angelina Uy Quang Pham Binh-Son Hua D. Nguyen Sai-Kit Yeung 3DV 3DPC 96 778 0 13 Aug 2019
3D Point Capsule Networks Yongheng Zhao Tolga Birdal Haowen Deng Federico Tombari 3DPC 58 337 0 27 Dec 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 95 973 0 22 Feb 2018
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 474 22,108 0 09 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 484 14,320 0 02 Dec 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 162 5,530 0 09 Dec 2015