3D-CODED : 3D Correspondences by Deep Deformation

13 June 2018

Papers citing "3D-CODED : 3D Correspondences by Deep Deformation"

4 / 4 papers shown

Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence Aleksei Zhuravlev Zorah Lähner Vladislav Golyanik DiffM 58 1 0 03 Mar 2025
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation Chaokang Jiang Dalong Du Jiuming Liu Siting Zhu Zhenqiang Liu Zhuang Ma Zhujin Liang Jie Zhou 30 2 0 23 May 2024
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds Zhiyuan Zhang Yuchao Dai Bin Fan Jiadai Sun Mingyi He 3DPC 24 6 0 26 Oct 2022
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