Searching Dense Point Correspondences via Permutation Matrix Learning

Searching Dense Point Correspondences via Permutation Matrix Learning

26 October 2022

Jiadai Sun

Yuchao Dai

Papers citing "Searching Dense Point Correspondences via Permutation Matrix Learning"

5 / 5 papers shown

Title
A Revisit of the Normalized Eight-Point Algorithm and A Self-Supervised Deep Solution Bin Fan Yuchao Dai Y. Seo Mingyi He 15 1 0 21 Apr 2023
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds Yiming Zeng Y. Qian Zhiyu Zhu Junhui Hou Hui Yuan Ying He 3DPC 97 65 0 31 Dec 2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features Xuyang Bai Zixin Luo Lei Zhou Hongbo Fu Long Quan Chiew-Lan Tai 3DPC 31 375 0 06 Mar 2020
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 107 325 0 13 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 231 1,801 0 25 Nov 2016