Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching

26 November 2022

Papers citing "Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching"

8 / 8 papers shown

Title
Deformation Recovery: Localized Learning for Detail-Preserving Deformations Ramana Sundararaman Nicolas Donati Simone Melzi E. Corman M. Ovsjanikov 27 2 0 26 Sep 2024
NICP: Neural ICP for 3D Human Registration at Scale R. Marin Enric Corona Gerard Pons-Moll 3DH 19 5 0 21 Dec 2023
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation Xianghui Xie Bharat Lal Bhatnagar J. E. Lenssen Gerard Pons-Moll 3DH 27 13 0 12 Dec 2023
Advancing Bayesian Optimization via Learning Correlated Latent Space Seunghun Lee Jaewon Chu S. Kim Juyeon Ko Hyunwoo J. Kim BDL 31 5 0 31 Oct 2023
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations Pan He Patrick Emami Sanjay Ranka Anand Rangarajan 3DPC 16 1 0 05 Sep 2022
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 100 66 0 31 Dec 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 219 14,047 0 02 Dec 2016