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Non-Rigid Shape Registration via Deep Functional Maps Prior

Non-Rigid Shape Registration via Deep Functional Maps Prior

8 November 2023
Puhua Jiang
Mingze Sun
Ruqi Huang
ArXivPDFHTML

Papers citing "Non-Rigid Shape Registration via Deep Functional Maps Prior"

16 / 16 papers shown
Title
Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence
Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence
Haolin Liu
Xiaohang Zhan
Zizheng Yan
Zhongjin Luo
Yuxin Wen
Xiaoguang Han
45
0
0
27 Mar 2025
ARMO: Autoregressive Rigging for Multi-Category Objects
ARMO: Autoregressive Rigging for Multi-Category Objects
Mingze Sun
Shiwei Mao
Keyi Chen
Yurun Chen
Shunlin Lu
Jingbo Wang
Junting Dong
Ruqi Huang
3DH
AI4CE
71
0
0
26 Mar 2025
Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy
Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy
Mingyang Zhao
Gaofeng Meng
Dong-Ming Yan
3DPC
48
0
0
15 Feb 2025
Deformation Recovery: Localized Learning for Detail-Preserving
  Deformations
Deformation Recovery: Localized Learning for Detail-Preserving Deformations
Ramana Sundararaman
Nicolas Donati
Simone Melzi
E. Corman
M. Ovsjanikov
14
2
0
26 Sep 2024
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image
  Morphing and Flow Estimation
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
31
4
0
18 Sep 2024
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape
  Matching
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching
Dongliang Cao
Zorah Laehner
Florian Bernard
DiffM
27
0
0
11 Jul 2024
Equivariant Local Reference Frames for Unsupervised Non-rigid Point
  Cloud Shape Correspondence
Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence
Ling Wang
Runfa Chen
Yikai Wang
Fuchun Sun
Xinzhou Wang
Sun Kai
Guangyuan Fu
Jianwei Zhang
Wenbing Huang
3DPC
22
1
0
01 Apr 2024
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud
  Registration
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration
Hao Yu
Jiafan Hou
Zheng Qin
Mahdi Saleh
I. Shugurov
Kai Wang
Benjamin Busam
Slobodan Ilic
28
21
0
27 Sep 2022
Non-rigid Point Cloud Registration with Neural Deformation Pyramid
Non-rigid Point Cloud Registration with Neural Deformation Pyramid
Yang Li
Tatsuya Harada
3DPC
36
31
0
25 May 2022
DPC: Unsupervised Deep Point Correspondence via Cross and Self
  Construction
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
Itai Lang
Dvir Ginzburg
S. Avidan
D. Raviv
3DPC
22
24
0
16 Oct 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
96
264
0
25 Apr 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds
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
94
65
0
31 Dec 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
128
618
0
21 Jul 2020
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
107
325
0
13 Jun 2018
DoubleFusion: Real-time Capture of Human Performances with Inner Body
  Shapes from a Single Depth Sensor
DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor
Tao Yu
Zerong Zheng
Kaiwen Guo
Jianhui Zhao
Qionghai Dai
Hao Li
Gerard Pons-Moll
Yebin Liu
3DH
118
271
0
17 Apr 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
210
13,886
0
02 Dec 2016
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