Learning to Manipulate Individual Objects in an Image

11 April 2020

Papers citing "Learning to Manipulate Individual Objects in an Image"

33 / 33 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 96 30,021 0 01 Mar 2022
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer Ori Press Tomer Galanti Sagie Benaim Lior Wolf 32 48 0 14 Jan 2020
Object Discovery with a Copy-Pasting GAN Relja Arandjelović Andrew Zisserman 41 57 0 27 May 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 57 505 0 01 Mar 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 46 519 0 22 Jan 2019
Unsupervised Moving Object Detection via Contextual Information Separation Yanchao Yang Antonio Loquercio Davide Scaramuzza Stefano Soatto GAN 39 126 0 10 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 479 10,466 0 12 Dec 2018
3D-Aware Scene Manipulation via Inverse Graphics Shunyu Yao T. Hsu Jun-Yan Zhu Jiajun Wu Antonio Torralba William T. Freeman J. Tenenbaum 3DPC 3DV 32 86 0 28 Aug 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 52 256 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 34 828 0 10 Apr 2018
MaskRNN: Instance Level Video Object Segmentation Yuan-Ting Hu Jia-Bin Huang Alex Schwing VOS 45 182 0 29 Mar 2018
Context Encoding for Semantic Segmentation Hang Zhang Kristin J. Dana Jianping Shi Zhongyue Zhang Xiaogang Wang A. Tyagi Amit Agrawal SSeg 70 1,245 0 23 Mar 2018
Path Aggregation Network for Instance Segmentation Shu Liu Lu Qi Haifang Qin Jianping Shi Jiaya Jia ISeg SSeg 79 5,696 0 05 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 114 290 0 28 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 37 1,336 0 16 Feb 2018
Isolating Sources of Disentanglement in Variational Autoencoders T. Chen Xuechen Li Roger C. Grosse David Duvenaud DRL 27 449 0 14 Feb 2018
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features Liang-Chieh Chen Alexander Hermans George Papandreou Florian Schroff Peng Wang Hartwig Adam ISeg 47 348 0 13 Dec 2017
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data Wei-Ning Hsu Yu Zhang James R. Glass BDL SSL 52 351 0 22 Sep 2017
Neural Expectation Maximization Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 66 284 0 11 Aug 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming-Yuan Liu Xiaodong Yang Jan Kautz GAN 104 1,138 0 17 Jul 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 55 473 0 05 Jun 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations Diane Bouchacourt Ryota Tomioka Sebastian Nowozin BDL OOD DRL 38 310 0 24 May 2017
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 127 4,224 0 12 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 152 18,136 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 249 37,704 0 20 May 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models S. M. Ali Eslami N. Heess T. Weber Yuval Tassa David Szepesvari Koray Kavukcuoglu Geoffrey E. Hinton 3DV BDL OCL 93 550 0 28 Mar 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 257 10,149 0 16 Mar 2016
Recurrent Instance Segmentation Bernardino Romera-Paredes Philip Torr SSeg 49 329 0 25 Nov 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 75 929 0 11 Mar 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 132 1,959 0 16 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 535 149,474 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 321 16,972 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 132 12,384 0 24 Jun 2012