ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.02994
  4. Cited By
Learning Canonical Embedding for Non-rigid Shape Matching

Learning Canonical Embedding for Non-rigid Shape Matching

6 October 2021
Abhishek Sharma
M. Ovsjanikov
    3DV
ArXivPDFHTML

Papers citing "Learning Canonical Embedding for Non-rigid Shape Matching"

4 / 4 papers shown
Title
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
30
1
0
05 Sep 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
132
325
0
13 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,136
0
02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
263
1,812
0
25 Nov 2016
1