Learning shape correspondence with anisotropic convolutional neural networks

20 May 2016

Papers citing "Learning shape correspondence with anisotropic convolutional neural networks"

50 / 71 papers shown

Title
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 46 4 0 18 Sep 2024
BLiSS: Bootstrapped Linear Shape Space Sanjeev Muralikrishnan C. Huang Duygu Ceylan Niloy J. Mitra 25 3 0 04 Sep 2023
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
SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network Hamza Bouzid Lahoucine Ballihi ViT 3DH 16 2 0 30 Jun 2023
Deep Learning on Implicit Neural Representations of Shapes Luca de Luigi Adriano Cardace Riccardo Spezialetti Pierluigi Zama Ramirez Samuele Salti Luigi Di Stefano 14 46 0 10 Feb 2023
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
Searching Dense Point Correspondences via Permutation Matrix Learning Zhiyuan Zhang Jiadai Sun Yuchao Dai Bin Fan Qi Liu 3DPC 19 2 0 26 Oct 2022
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data Dario Coscia L. Meneghetti N. Demo G. Stabile G. Rozza 16 7 0 24 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
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations Pan He Patrick Emami Sanjay Ranka Anand Rangarajan 3DPC 18 1 0 05 Sep 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 28 12 0 23 Aug 2022
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 34 16 0 17 Aug 2022
Neural network layers as parametric spans M. Bergomi Pietro Vertechi AI4CE 25 2 0 01 Aug 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen Zhenyu Jiang Chris Choy Leonidas J. Guibas Silvio Savarese Anima Anandkumar Yuke Zhu AI4CE 14 41 0 14 Mar 2022
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations A. Benfenati A. Marta 43 11 0 17 Dec 2021
Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor Riddhish Bhalodia Shireen Elhabian L. Kavan Ross T. Whitaker 21 5 0 13 Nov 2021
DPFM: Deep Partial Functional Maps Souhaib Attaiki Gautam Pai M. Ovsjanikov 22 57 0 19 Oct 2021
DEBOSH: Deep Bayesian Shape Optimization N. Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 27 15 0 28 Sep 2021
Learning Feature Aggregation for Deep 3D Morphable Models Zhixiang Chen Tae-Kyun Kim 3DPC 3DH 37 24 0 05 May 2021
AttWalk: Attentive Cross-Walks for Deep Mesh Analysis Ran Ben Izhak Alon Lahav A. Tal 3DV 29 10 0 23 Apr 2021
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image Akila Pemasiri Kien Nguyen Thanh S. Sridharan Clinton Fookes 3DH 28 4 0 27 Jan 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang Binh Yang Shenlong Wang R. Urtasun 3DPC 183 840 0 20 Dec 2020
Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation Mehdi Bahri Eimear O' Sullivan Shunwang Gong Feng Liu Xiaoming Liu M. Bronstein S. Zafeiriou CVBM 3DH 15 16 0 16 Dec 2020
Learning geometry-image representation for 3D point cloud generation Lei Wang Yuchun Huang Pengjie Tao Yaolin Hou Yuxuan Liu 3DPC 22 2 0 29 Nov 2020
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 48 89 0 23 Oct 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence Feng Liu Xiaoming Liu 3DPC 33 36 0 23 Oct 2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence Hao Huang Lingjing Wang Xiang Li Yi Fang 3DPC 18 0 0 21 Oct 2020
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination Peng-Shuai Wang Yuqi Yang Qian-Fang Zou Zhirong Wu Yang Liu Xin Tong 3DPC 23 53 0 03 Aug 2020
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations Jiahao Pang Duanshun Li Dong Tian 3DPC 13 40 0 17 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 13 13 0 11 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 15 69 0 02 Jun 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence Nicolas Donati Abhishek Sharma M. Ovsjanikov AAML 3DPC 16 154 0 31 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 100 127 0 11 Mar 2020
Learning Diverse Fashion Collocation by Neural Graph Filtering Xin Liu Yongbin Sun Ziwei Liu Dahua Lin 13 26 0 11 Mar 2020
A Survey on Deep Geometry Learning: From a Representation Perspective Yun-Peng Xiao Yu-Kun Lai Fang-Lue Zhang Chunpeng Li Lin Gao 3DH AI4TS 32 99 0 19 Feb 2020
Continuous Geodesic Convolutions for Learning on 3D Shapes Zhangsihao Yang Or Litany Tolga Birdal Srinath Sridhar Leonidas J. Guibas 3DH 3DPC 3DV 18 29 0 06 Feb 2020
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 13 8 0 30 Nov 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator Shunwang Gong Lei Chen M. Bronstein S. Zafeiriou 3DH 11 144 0 13 Nov 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing Yin Bi Aaron Chadha Alhabib Abbas Eirina Bourtsoulatze Y. Andreopoulos 9 26 0 08 Oct 2019
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities Devanshu Arya S. Rudinac M. Worring 16 11 0 19 Sep 2019
Mesh Variational Autoencoders with Edge Contraction Pooling Yu-Jie Yuan Yu-Kun Lai J. Yang Hongbo Fu Lin Gao 3DPC 18 31 0 07 Aug 2019
Bilateral Operators for Functional Maps Gautam Pai Mor Joseph-Rivlin Ron Kimmel 19 1 0 30 Jul 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas Sergiy Bokhnyak Stylianos Ploumpis M. Bronstein S. Zafeiriou MedIm 3DH 18 161 0 08 May 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification E. Nezhadarya E. Taghavi Ryan Razani Bingbing Liu Jun-Jie Luo 3DPC 17 107 0 11 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing Alexandre Boulch 3DPC 14 239 0 04 Apr 2019
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image Jingwei Huang Yichao Zhou Thomas Funkhouser Leonidas J. Guibas 3DV 15 45 0 29 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 23 402 0 11 Feb 2019
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals C. Jiang Dana Lynn Ona Lansigan P. Marcus Matthias Nießner 11 11 0 30 Jan 2019
A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings W. B. Daniel Enoch Yeung 13 2 0 09 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 150 8,342 0 03 Jan 2019