Mesh Variational Autoencoders with Edge Contraction Pooling

Mesh Variational Autoencoders with Edge Contraction Pooling

7 August 2019

Papers citing "Mesh Variational Autoencoders with Edge Contraction Pooling"

19 / 19 papers shown

Title
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes Jingwei Huang Haotian Zhang L. Yi Thomas Funkhouser Matthias Nießner Leonidas Guibas 3DPC 3DV 55 117 0 30 Nov 2018
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes Peng-Shuai Wang Chun-Yu Sun Yang Liu Xin Tong 3DPC 3DV MedIm 69 121 0 21 Sep 2018
MeshCNN: A Network with an Edge Rana Hanocka Amir Hertz N. Fish Raja Giryes S. Fleishman Daniel Cohen-Or 49 277 0 16 Sep 2018
Generating 3D faces using Convolutional Mesh Autoencoders Anurag Ranjan Timo Bolkart Soubhik Sanyal Michael J. Black CVBM 3DH 62 573 0 26 Jul 2018
Deformable Shape Completion with Graph Convolutional Autoencoders Or Litany A. Bronstein M. Bronstein A. Makadia 71 223 0 01 Dec 2017
Variational Autoencoders for Deforming 3D Mesh Models Qingyang Tan Lin Gao Yu-kun Lai Shi-hong Xia AI4CE 61 198 0 13 Sep 2017
Mesh-based Autoencoders for Localized Deformation Component Analysis Qingyang Tan Lin Gao Yu-kun Lai Jie Yang Shi-hong Xia 55 64 0 13 Sep 2017
Sparse Data Driven Mesh Deformation Lin Gao Yu-kun Lai Jie Yang Ling-Xiao Zhang Leif Kobbelt Shi-hong Xia 41 73 0 05 Sep 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 313 11,062 0 07 Jun 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 111 5,554 0 30 Mar 2017
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation L. Yi Hao Su Xingwen Guo Leonidas Guibas GNN 3DPC 159 467 0 02 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 442 14,264 0 02 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 672 3,274 0 24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 283 1,952 0 24 Oct 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 304 7,646 0 30 Jun 2016
Learning shape correspondence with anisotropic convolutional neural networks Davide Boscaini Jonathan Masci Emanuele Rodolà M. Bronstein 3DPC 148 508 0 20 May 2016
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 150 1,585 0 16 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 412 16,947 0 20 Dec 2013