DRAW: A Recurrent Neural Network For Image Generation

16 February 2015

Karol Gregor

Ivo Danihelka

Alex Graves

Danilo Jimenez Rezende

Papers citing "DRAW: A Recurrent Neural Network For Image Generation"

50 / 328 papers shown

Title
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 138 305 0 11 Jun 2018
Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder Yaxiang Fan G. Wen Deren Li S. Qiu M. Levine DRL 11 211 0 29 May 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 35 121 0 28 May 2018
Generative Creativity: Adversarial Learning for Bionic Design Simiao Yu Hao Dong Pan Wang Chao Wu Yike Guo GAN 27 8 0 19 May 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks Adji Bousso Dieng Rajesh Ranganath Jaan Altosaar David M. Blei 22 22 0 03 May 2018
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis Hyojin Park Y. Yoo Nojun Kwak GAN 22 58 0 03 May 2018
MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses Irtiza Hasan Francesco Setti T. Tsesmelis Alessio Del Bue Fabio Galasso Marco Cristani 25 119 0 02 May 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 9 822 0 10 Apr 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning Yaroslav Ganin Tejas D. Kulkarni Igor Babuschkin A. Eslami Oriol Vinyals GAN 12 229 0 03 Apr 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks Agrim Gupta Justin Johnson Li Fei-Fei Silvio Savarese Alexandre Alahi GAN 66 1,885 0 29 Mar 2018
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization Christopher J. Cueva Xue-Xin Wei 6 211 0 21 Mar 2018
Attention-GAN for Object Transfiguration in Wild Images Xinyuan Chen Chang Xu Xiaokang Yang Dacheng Tao 21 176 0 19 Mar 2018
Neural Network Quine Oscar Chang Hod Lipson 13 23 0 15 Mar 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training Daniel Jiwoong Im He Ma Graham W. Taylor K. Branson EGVM 19 69 0 02 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 34 290 0 28 Feb 2018
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points Fabien Baradel Christian Wolf J. Mille Graham W. Taylor 24 150 0 22 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 30 243 0 07 Feb 2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents Joel Z Leibo Cyprien de Masson dÁutume Daniel Zoran David Amos Charlie Beattie ... Simon Green A. Gruslys Shane Legg Demis Hassabis M. Botvinick 24 78 0 24 Jan 2018
Variational Recurrent Neural Machine Translation Jinsong Su Shan Wu Deyi Xiong Yaojie Lu Xianpei Han Biao Zhang DRL 41 83 0 16 Jan 2018
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition Jinmian Ye Linnan Wang Guangxi Li Di Chen Shandian Zhe Xinqi Chu Zenglin Xu 26 132 0 14 Dec 2017
Attentive Generative Adversarial Network for Raindrop Removal from a Single Image Rui Qian R. Tan Wenhan Yang Jiajun Su Jiaying Liu GAN 25 620 0 28 Nov 2017
Locally Smoothed Neural Networks Liang Pang Yanyan Lan Jun Xu J. Guo Xueqi Cheng 41 5 0 22 Nov 2017
Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN Dan Ma B. Liu Zhao Kang Jiayu Zhou Jianke Zhu Zenglin Xu CVBM GAN 18 6 0 16 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 38 2,078 0 14 Nov 2017
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net Anirudh Goyal Nan Rosemary Ke Surya Ganguli Yoshua Bengio DiffM 27 55 0 07 Nov 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions Scott E. Reed Yutian Chen T. Paine Aaron van den Oord S. M. Ali Eslami Danilo Jimenez Rezende Oriol Vinyals Nando de Freitas 41 88 0 27 Oct 2017
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network E. Laloy Romain Hérault J. Lee D. Jacques N. Linde 24 192 0 25 Oct 2017
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 39 76 0 16 Sep 2017
Attention-Aware Face Hallucination via Deep Reinforcement Learning Qingxing Cao Liang Lin Yukai Shi Xiaodan Liang Guanbin Li SupR 16 193 0 10 Aug 2017
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images Avi Singh Larry Yang Sergey Levine 22 23 0 07 Aug 2017
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks Chuhang Zou Ersin Yumer Jimei Yang Duygu Ceylan Derek Hoiem 3DV 8 207 0 04 Aug 2017
Generative Semantic Manipulation with Contrasting GAN Xiaodan Liang H. M. Zhang Eric P. Xing GAN 23 53 0 01 Aug 2017
Photographic Image Synthesis with Cascaded Refinement Networks Qifeng Chen V. Koltun 26 946 0 28 Jul 2017
Deep Interactive Region Segmentation and Captioning Ali Sharifi Boroujerdi M. Khanian M. Breuß 18 7 0 26 Jul 2017
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis Zimo Li Yi Zhou Shuangjiu Xiao C. He Zeng Huang Hao Li 3DH 22 47 0 17 Jul 2017
MoCoGAN: Decomposing Motion and Content for Video Generation Sergey Tulyakov Ming-Yu Liu Xiaodong Yang Jan Kautz GAN 63 1,131 0 17 Jul 2017
SCAN: Learning Hierarchical Compositional Visual Concepts I. Higgins Nicolas Sonnerat Loic Matthey Arka Pal Christopher P. Burgess Matko Bosnjak Murray Shanahan M. Botvinick Demis Hassabis Alexander Lerchner OCL DRL CoGe 16 51 0 11 Jul 2017
Skeleton-aided Articulated Motion Generation Yichao Yan Jingwei Xu Bingbing Ni Xiaokang Yang 3DH 32 87 0 04 Jul 2017
Bridging the Gap between Probabilistic and Deterministic Models: A Simulation Study on a Variational Bayes Predictive Coding Recurrent Neural Network Model Ahmadreza Ahmadi Jun Tani BDL 16 16 0 30 Jun 2017
Video Imagination from a Single Image with Transformation Generation Baoyang Chen Wenmin Wang Jinzhuo Wang Xiongtao Chen EGVM VGen 18 50 0 13 Jun 2017
Depth Structure Preserving Scene Image Generation Wendong Zhang Bingbing Ni Yichao Yan Jingwei Xu Xiaokang Yang GAN 35 4 0 01 Jun 2017
Learning to Pour Yongqiang Huang Yu Sun 19 18 0 25 May 2017
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks Shuai Xiao Junchi Yan Stephen M. Chu Xiaokang Yang H. Zha AI4TS 15 265 0 24 May 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 54 727 0 24 May 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 20 3 0 24 May 2017
Online Signature Verification using Recurrent Neural Network and Length-normalized Path Signature Songxuan Lai Lianwen Jin Weixin Yang 11 61 0 19 May 2017
Pixel Deconvolutional Networks Hongyang Gao Hao Yuan Zhengyang Wang Shuiwang Ji SSeg 19 46 0 18 May 2017
A Generative Model of People in Clothing Christoph Lassner Gerard Pons-Moll Peter V. Gehler 3DH 38 228 0 11 May 2017