Geometric Disentanglement for Generative Latent Shape Models

18 August 2019

Tristan Aumentado-Armstrong

Papers citing "Geometric Disentanglement for Generative Latent Shape Models"

39 / 39 papers shown

Title
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 82 0 0 27 May 2024
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion Julian Chibane Thiemo Alldieck Gerard Pons-Moll 3DPC 108 496 0 03 Mar 2020
Shape retrieval of non-rigid 3d human models D. Pickup Xingwu Sun Paul L. Rosin Ralph Robert Martin Zihao Cheng ... Yaojie Lu Lin Sun G. Tam A. Tatsuma J Ye 3DH 18 37 0 01 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 321 10,591 0 17 Feb 2020
Learning Disentangled Representations with Reference-Based Variational Autoencoders Adria Ruiz Oriol Martínez Xavier Binefa Jakob Verbeek OOD CoGe DRL 39 26 0 24 Jan 2019
Learning to Sample Oren Dovrat Itai Lang S. Avidan 3DPC 18 4 0 04 Dec 2018
Disentangling Latent Factors of Variational Auto-Encoder with Whitening Md. Zahangir Alom C. Yakopcic CoGe DRL 23 2 0 08 Nov 2018
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 76 211 0 13 Oct 2018
Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari Harold Soh CoGe CML UD DRL 51 31 0 12 Sep 2018
Group-based Learning of Disentangled Representations with Generalizability for Novel Contents H. Hosoya OOD BDL DRL 26 9 0 07 Sep 2018
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 146 328 0 13 Jun 2018
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds Pedro Hermosilla Tobias Ritschel Pere-Pau Vázquez À. Vinacua Timo Ropinski 3DPC 94 260 0 05 Jun 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 57 829 0 10 Apr 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 69 165 0 06 Apr 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 208 770 0 30 Mar 2018
Point Convolutional Neural Networks by Extension Operators Matan Atzmon Haggai Maron Y. Lipman 3DPC 55 538 0 27 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis Jiaxin Li Ben M. Chen Gim Hee Lee 3DPC 68 937 0 12 Mar 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,346 0 16 Feb 2018
Auto-Encoding Total Correlation Explanation Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan BDL DRL 66 78 0 16 Feb 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DV 126 1,182 0 15 Feb 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 78 523 0 02 Nov 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
A Two-Step Disentanglement Method Naama Hadad Lior Wolf Shimon Shahar 53 80 0 01 Sep 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 315 11,062 0 07 Jun 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 113 362 0 01 Jun 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 54 312 0 24 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 66 632 0 19 May 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 110 529 0 17 Jan 2017
Learning from Synthetic Humans Gül Varol Javier Romero Xavier Martin Naureen Mahmood Michael J. Black Ivan Laptev Cordelia Schmid 3DH 93 972 0 05 Jan 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 444 14,264 0 02 Dec 2016
3D Menagerie: Modeling the 3D shape and pose of animals Silvia Zuffi Angjoo Kanazawa David Jacobs Michael J. Black 3DH 79 385 0 23 Nov 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 338 10,467 0 21 Jul 2016
Early Visual Concept Learning with Unsupervised Deep Learning I. Higgins Loic Matthey Xavier Glorot Arka Pal Benigno Uria Charles Blundell S. Mohamed Alexander Lerchner CoGe OCL DRL 61 173 0 17 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,232 0 12 Jun 2016
Autoencoding beyond pixels using a learned similarity metric Anders Boesen Lindbo Larsen Søren Kaae Sønderby Hugo Larochelle Ole Winther GAN 163 2,066 0 31 Dec 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 419 43,234 0 11 Feb 2015
Multi-view Face Detection Using Deep Convolutional Neural Networks S. Farfade M. Saberian Li Li CVBM 75 577 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 224 12,422 0 24 Jun 2012