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"

9 / 9 papers shown

Title
Learning 3D Scene Analogies with Neural Contextual Scene Maps Junho Kim Gwangtak Bae E. Lee Young Min Kim 3DPC 3DV 60 0 0 20 Mar 2025
Efficient Semantic Matching with Hypercolumn Correlation Seungwook Kim Juhong Min Minsu Cho 18 3 0 07 Nov 2023
TransforMatcher: Match-to-Match Attention for Semantic Correspondence Seungwook Kim Juhong Min Minsu Cho ViT 35 23 0 23 May 2022
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction Itai Lang Dvir Ginzburg S. Avidan D. Raviv 3DPC 27 32 0 16 Oct 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 102 314 0 25 Apr 2021
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence Feng Liu Xiaoming Liu 3DPC 33 36 0 23 Oct 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 107 108 0 16 Mar 2020
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 166 21,643 0 09 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016