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CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds

CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds

31 December 2020
Yiming Zeng
Y. Qian
Zhiyu Zhu
Junhui Hou
Hui Yuan
Ying He
    3DPC
ArXivPDFHTML

Papers citing "CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds"

12 / 12 papers shown
Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev
Zorah Lähner
Vladislav Golyanik
DiffM
69
1
0
03 Mar 2025
Sync4D: Video Guided Controllable Dynamics for Physics-Based 4D
  Generation
Sync4D: Video Guided Controllable Dynamics for Physics-Based 4D Generation
Zhoujie Fu
Jiacheng Wei
Wenhao Shen
Chaoyue Song
Xiaofeng Yang
Fayao Liu
Xulei Yang
Guosheng Lin
3DGS
48
5
0
27 May 2024
Non-Rigid Shape Registration via Deep Functional Maps Prior
Non-Rigid Shape Registration via Deep Functional Maps Prior
Puhua Jiang
Mingze Sun
Ruqi Huang
29
10
0
08 Nov 2023
Unsupervised 3D Pose Transfer with Cross Consistency and Dual
  Reconstruction
Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction
Chaoyue Song
Jiacheng Wei
Ruibo Li
Fayao Liu
Guosheng Lin
3DPC
14
21
0
18 Nov 2022
Learning a Task-specific Descriptor for Robust Matching of 3D Point
  Clouds
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds
Zhiyuan Zhang
Yuchao Dai
Bin Fan
Jiadai Sun
Mingyi He
3DPC
38
7
0
26 Oct 2022
Searching Dense Point Correspondences via Permutation Matrix Learning
Searching Dense Point Correspondences via Permutation Matrix Learning
Zhiyuan Zhang
Jiadai Sun
Yuchao Dai
Bin Fan
Qi Liu
3DPC
24
2
0
26 Oct 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape
  Correspondence
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
Mohammad Farazi
Wenjie Zhu
Zhangsihao Yang
Yalin Wang
3DPC
26
3
0
17 Oct 2022
Learning Canonical Embeddings for Unsupervised Shape Correspondence with
  Locally Linear Transformations
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations
Pan He
Patrick Emami
Sanjay Ranka
Anand Rangarajan
3DPC
23
1
0
05 Sep 2022
3D Point Cloud Registration with Learning-based Matching Algorithm
3D Point Cloud Registration with Learning-based Matching Algorithm
Rintaro Yanagi
Atsushi Hashimoto
Shusaku Sone
Naoya Chiba
Jiaxin Ma
Yoshitaka Ushiku
3DPC
19
1
0
04 Feb 2022
3D Face Morphing Attacks: Generation, Vulnerability and Detection
3D Face Morphing Attacks: Generation, Vulnerability and Detection
Jag Mohan Singh
Raghavendra Ramachandra
CVBM
27
9
0
10 Jan 2022
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
115
325
0
13 Jun 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
247
3,236
0
24 Nov 2016
1