Learning Canonical Embeddings for Unsupervised Shape Correspondence with
Locally Linear Transformations

Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations

5 September 2022

Sanjay Ranka

Anand Rangarajan

Papers citing "Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations"

8 / 8 papers shown

Title
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds Jadie Adams Shireen Elhabian 63 0 0 15 May 2024
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction Itai Lang Dvir Ginzburg S. Avidan D. Raviv 3DPC 37 32 0 16 Oct 2021
Learning Canonical Embedding for Non-rigid Shape Matching Abhishek Sharma M. Ovsjanikov 3DV 16 1 0 06 Oct 2021
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 106 66 0 31 Dec 2020
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration Bharat Lal Bhatnagar C. Sminchisescu Christian Theobalt Gerard Pons-Moll 3DH 92 132 0 23 Oct 2020
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
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 14,099 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016