DiffusionNet: Discretization Agnostic Learning on Surfaces

1 December 2020

Souhaib Attaiki

Papers citing "DiffusionNet: Discretization Agnostic Learning on Surfaces"

43 / 43 papers shown

Title
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 42 0 0 28 Apr 2025
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 56 0 0 02 Apr 2025
Denoising Functional Maps: Diffusion Models for Shape Correspondence Aleksei Zhuravlev Zorah Lähner Vladislav Golyanik DiffM 72 1 0 03 Mar 2025
ARTalk: Speech-Driven 3D Head Animation via Autoregressive Model Xuangeng Chu Nabarun Goswami Ziteng Cui Hanqin Wang Tatsuya Harada DiffM 80 0 0 27 Feb 2025
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 59 1 0 14 Oct 2024
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 54 4 0 18 Sep 2024
Optimized Dual-Volumes for Tetrahedral Meshes Alec Jacobson 26 0 0 12 Jun 2024
Continuous Product Graph Neural Networks Aref Einizade Fragkiskos D. Malliaros Jhony H. Giraldo 34 1 0 29 May 2024
iSeg: Interactive 3D Segmentation via Interactive Attention Itai Lang Fei Xu Dale Decatur Sudarshan Babu Rana Hanocka 46 4 0 04 Apr 2024
Memory-Scalable and Simplified Functional Map Learning Robin Magnet M. Ovsjanikov 32 2 0 30 Mar 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 36 3 0 25 Jan 2024
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching Lennart Bastian Yizheng Xie Nassir Navab Zorah Lähner 28 4 0 06 Dec 2023
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 48 7 0 21 Nov 2023
Non-Rigid Shape Registration via Deep Functional Maps Prior Puhua Jiang Mingze Sun Ruqi Huang 37 10 0 08 Nov 2023
Basis restricted elastic shape analysis on the space of unregistered surfaces Emmanuel Hartman E. Pierson Martin Bauer Mohamed Daoudi N. Charon 23 4 0 07 Nov 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 42 3 0 28 Sep 2023
Fully automated landmarking and facial segmentation on 3D photographs Bo Berends F. Bielevelt R. Schreurs S. Vinayahalingam T. Maal Guido de Jong 30 7 0 19 Sep 2023
SieveNet: Selecting Point-Based Features for Mesh Networks Shengchao Yuan Yishun Dou Rui Shi Bingbing Ni Zhong Zheng 3DPC 30 0 0 24 Aug 2023
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures T. Besnier Sylvain Arguillere E. Pierson Mohamed Daoudi 3DH 21 8 0 27 Jun 2023
Geometric Epitope and Paratope Prediction Marco Pegoraro Clémentine Dominé Emanuele Rodolà Petar Velickovic Andreea Deac 41 2 0 28 May 2023
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition Xiaoyu Zhu Po-Yao (Bernie) Huang Junwei Liang Celso M. de Melo Alexander G. Hauptmann 29 12 0 31 Mar 2023
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 19 2 0 17 Jan 2023
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors Marvin Eisenberger Aysim Toker Laura Leal-Taixé Daniel Cremers 24 5 0 06 Dec 2022
TIDE: Time Derivative Diffusion for Deep Learning on Graphs M. Behmanesh Maximilian Krahn M. Ovsjanikov DiffM GNN 24 9 0 05 Dec 2022
What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives Na Lei Zezeng Li Zebin Xu Ying Li X. Gu AI4CE 19 20 0 11 Nov 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence Mohammad Farazi Wenjie Zhu Zhangsihao Yang Yalin Wang 3DPC 31 3 0 17 Oct 2022
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence Lei Li Souhaib Attaiki M. Ovsjanikov 19 8 0 16 Sep 2022
Unsupervised Deep Multi-Shape Matching Dongliang Cao Florian Bernard 3DPC 3DV 29 30 0 20 Jul 2022
A Flexible Diffusion Model Weitao Du Tao Yang Heidi Zhang Yuanqi Du DiffM 30 11 0 17 Jun 2022
Graph Anisotropic Diffusion Ahmed A. A. Elhag Gabriele Corso Hannes Stärk Michael M. Bronstein DiffM GNN 22 0 0 30 Apr 2022
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching Nicolas Donati E. Corman M. Ovsjanikov 19 34 0 28 Apr 2022
Laplacian2Mesh: Laplacian-Based Mesh Understanding Qiujie Dong Zixiong Wang Manyi Li Junjie Gao Shuangmin Chen Zhenyu Shu Shiqing Xin Changhe Tu Wenping Wang 16 25 0 01 Feb 2022
DPFM: Deep Partial Functional Maps Souhaib Attaiki Gautam Pai M. Ovsjanikov 30 57 0 19 Oct 2021
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Sara Hahner Jochen Garcke AI4CE 27 14 0 18 Oct 2021
Subdivision-Based Mesh Convolution Networks Shimin Hu Zheng-Ning Liu Meng-Hao Guo Junxiong Cai Jiahui Huang Tai-Jiang Mu Ralph Robert Martin 3DV 24 121 0 04 Jun 2021
Surface Multigrid via Intrinsic Prolongation Hsueh-Ti Derek Liu Jingyang Zhang M. Ben-Chen Alec Jacobson AI4CE 26 32 0 28 Apr 2021
Deep Deformation Detail Synthesis for Thin Shell Models Lan Chen Lin Gao Jie Yang Shibiao Xu Juntao Ye Xiaopeng Zhang Yu-Kun Lai 3DH AI4CE 38 11 0 23 Feb 2021
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 56 89 0 23 Oct 2020
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 120 109 0 16 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 102 127 0 11 Mar 2020
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 120 325 0 13 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016