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DiffusionNet: Discretization Agnostic Learning on Surfaces

DiffusionNet: Discretization Agnostic Learning on Surfaces

1 December 2020
Nicholas Sharp
Souhaib Attaiki
Keenan Crane
M. Ovsjanikov
    3DH
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Papers citing "DiffusionNet: Discretization Agnostic Learning on Surfaces"

29 / 29 papers shown
Title
Pixels2Points: Fusing 2D and 3D Features for Facial Skin Segmentation
Pixels2Points: Fusing 2D and 3D Features for Facial Skin Segmentation
Victoria Yue Chen
Daoye Wang
Stephan Garbin
Jan Bednarík
Sebastian Winberg
Timo Bolkart
Thabo Beeler
3DH
3DPC
34
0
0
28 Apr 2025
Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
Kaiwei Zhang
Dandan Zhu
Xiongkuo Min
Guangtao Zhai
Mamba
52
0
0
02 Apr 2025
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev
Zorah Lähner
Vladislav Golyanik
DiffM
65
1
0
03 Mar 2025
ARTalk: Speech-Driven 3D Head Animation via Autoregressive Model
ARTalk: Speech-Driven 3D Head Animation via Autoregressive Model
Xuangeng Chu
Nabarun Goswami
Ziteng Cui
Hanqin Wang
Tatsuya Harada
DiffM
71
0
0
27 Feb 2025
Beyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads
Beyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads
Federico Nocentini
T. Besnier
Claudio Ferrari
Sylvain Arguillere
Stefano Berretti
Mohamed Daoudi
56
1
0
14 Oct 2024
Memory-Scalable and Simplified Functional Map Learning
Memory-Scalable and Simplified Functional Map Learning
Robin Magnet
M. Ovsjanikov
21
2
0
30 Mar 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs
M. Hanik
Gabriele Steidl
C. V. Tycowicz
GNN
MedIm
19
3
0
25 Jan 2024
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Lennart Bastian
Yizheng Xie
Nassir Navab
Zorah Lähner
22
4
0
06 Dec 2023
Differentiable Visual Computing for Inverse Problems and Machine
  Learning
Differentiable Visual Computing for Inverse Problems and Machine Learning
Andrew Spielberg
Fangcheng Zhong
Konstantinos Rematas
Krishna Murthy Jatavallabhula
Cengiz Öztireli
Tzu-Mao Li
Derek Nowrouzezahrai
32
7
0
21 Nov 2023
Non-Rigid Shape Registration via Deep Functional Maps Prior
Non-Rigid Shape Registration via Deep Functional Maps Prior
Puhua Jiang
Mingze Sun
Ruqi Huang
19
10
0
08 Nov 2023
Basis restricted elastic shape analysis on the space of unregistered
  surfaces
Basis restricted elastic shape analysis on the space of unregistered surfaces
Emmanuel Hartman
E. Pierson
Martin Bauer
Mohamed Daoudi
N. Charon
18
4
0
07 Nov 2023
AtomSurf : Surface Representation for Learning on Protein Structures
AtomSurf : Surface Representation for Learning on Protein Structures
Vincent Mallet
Souhaib Attaiki
M. Ovsjanikov
32
3
0
28 Sep 2023
Fully automated landmarking and facial segmentation on 3D photographs
Fully automated landmarking and facial segmentation on 3D photographs
Bo Berends
F. Bielevelt
R. Schreurs
S. Vinayahalingam
T. Maal
Guido de Jong
17
6
0
19 Sep 2023
SieveNet: Selecting Point-Based Features for Mesh Networks
SieveNet: Selecting Point-Based Features for Mesh Networks
Shengchao Yuan
Yishun Dou
Rui Shi
Bingbing Ni
Zhong Zheng
3DPC
16
0
0
24 Aug 2023
Geometric Epitope and Paratope Prediction
Geometric Epitope and Paratope Prediction
Marco Pegoraro
Clémentine Dominé
Emanuele Rodolà
Petar Velickovic
Andreea Deac
25
2
0
28 May 2023
Long Range Pooling for 3D Large-Scale Scene Understanding
Long Range Pooling for 3D Large-Scale Scene Understanding
Xiang-Li Li
Meng-Hao Guo
Tai-Jiang Mu
Ralph Robert Martin
Shiyong Hu
3DV
3DPC
6
2
0
17 Jan 2023
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity
  Priors
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Daniel Cremers
11
5
0
06 Dec 2022
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
M. Behmanesh
Maximilian Krahn
M. Ovsjanikov
DiffM
GNN
11
9
0
05 Dec 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape
  Correspondence
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
Mohammad Farazi
Wenjie Zhu
Zhangsihao Yang
Yalin Wang
3DPC
19
3
0
17 Oct 2022
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid
  Shape Correspondence
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence
Lei Li
Souhaib Attaiki
M. Ovsjanikov
19
8
0
16 Sep 2022
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Qiujie Dong
Zixiong Wang
Manyi Li
Junjie Gao
Shuangmin Chen
Zhenyu Shu
Shiqing Xin
Changhe Tu
Wenping Wang
14
24
0
01 Feb 2022
DPFM: Deep Partial Functional Maps
DPFM: Deep Partial Functional Maps
Souhaib Attaiki
Gautam Pai
M. Ovsjanikov
22
57
0
19 Oct 2021
Surface Multigrid via Intrinsic Prolongation
Surface Multigrid via Intrinsic Prolongation
Hsueh-Ti Derek Liu
J. Zhang
M. Ben-Chen
Alec Jacobson
AI4CE
23
31
0
28 Apr 2021
Primal-Dual Mesh Convolutional Neural Networks
Primal-Dual Mesh Convolutional Neural Networks
Francesco Milano
Antonio Loquercio
Antoni Rosinol
Davide Scaramuzza
Luca Carlone
3DPC
AI4CE
46
89
0
23 Oct 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
107
108
0
16 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric
  graphs
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
89
127
0
11 Mar 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
115
325
0
13 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,801
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
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