Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes

3 December 2019

Papers citing "Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes"

12 / 12 papers shown

Title
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation Mingze Sun Chen Guo Puhua Jiang Shiwei Mao Yurun Chen Ruqi Huang 69 4 0 18 Sep 2024
Neural Intrinsic Embedding for Non-rigid Point Cloud Matching Puhua Jiang Min Sun Ruqi Huang 3DPC 34 9 0 02 Mar 2023
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations Pan He Patrick Emami Sanjay Ranka Anand Rangarajan 3DPC 33 1 0 05 Sep 2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation Gopal Sharma K. Yin Subhransu Maji E. Kalogerakis Litany Sanja Fidler 3DV 3DPC 28 12 0 18 Aug 2022
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching Nicolas Donati E. Corman M. Ovsjanikov 22 34 0 28 Apr 2022
Deep Confidence Guided Distance for 3D Partial Shape Registration Dvir Ginzburg D. Raviv 3DV 3DPC 32 3 0 27 Jan 2022
Complex Functional Maps : a Conformal Link Between Tangent Bundles Nicolas Donati E. Corman Simone Melzi M. Ovsjanikov 35 26 0 17 Dec 2021
Mesh Draping: Parametrization-Free Neural Mesh Transfer Amir Hertz Or Perel Raja Giryes O. Sorkine-Hornung Daniel Cohen-Or 3DH AI4CE 24 4 0 11 Oct 2021
Learning Canonical Embedding for Non-rigid Shape Matching Abhishek Sharma M. Ovsjanikov 3DV 29 1 0 06 Oct 2021
Learning Spectral Unions of Partial Deformable 3D Shapes Luca Moschella Simone Melzi Luca Cosmo Filippo Maggioli Or Litany M. Ovsjanikov Leonidas J. Guibas Emanuele Rodolà 26 7 0 31 Mar 2021
Correspondence Learning via Linearly-invariant Embedding R. Marin Marie-Julie Rakotosaona Simone Melzi M. Ovsjanikov 3DPC 38 64 0 25 Oct 2020
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