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DRAW: A Recurrent Neural Network For Image Generation

DRAW: A Recurrent Neural Network For Image Generation

16 February 2015
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
    GAN
    DRL
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Papers citing "DRAW: A Recurrent Neural Network For Image Generation"

50 / 377 papers shown
Title
Time-Aware and View-Aware Video Rendering for Unsupervised
  Representation Learning
Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning
Shruti Vyas
Yogesh S Rawat
M. Shah
AI4TS
33
4
0
26 Nov 2018
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN
  Features with a Feature Selector
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector
Chen Du
Chunheng Wang
Yanna Wang
Cunzhao Shi
Baihua Xiao
22
42
0
15 Nov 2018
Concept Learning with Energy-Based Models
Concept Learning with Energy-Based Models
William J. Wilkinson
27
25
0
06 Nov 2018
Resampled Priors for Variational Autoencoders
Resampled Priors for Variational Autoencoders
Matthias Bauer
A. Mnih
BDL
DRL
22
110
0
26 Oct 2018
Decoding Brain Representations by Multimodal Learning of Neural Activity
  and Visual Features
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
S. Palazzo
C. Spampinato
I. Kavasidis
D. Giordano
Joseph Schmidt
M. Shah
127
111
0
25 Oct 2018
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Tao Zhou
Chen Fang
Zhaowen Wang
Jimei Yang
Byungmoon Kim
Zhili Chen
Jonathan Brandt
Demetri Terzopoulos
25
7
0
14 Oct 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample
  Likelihoods in GANs
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji
Hamed Hassani
Rama Chellappa
S. Feizi
GAN
DRL
41
20
0
09 Oct 2018
A Comprehensive Survey of Deep Learning for Image Captioning
A Comprehensive Survey of Deep Learning for Image Captioning
Md Zakir Hossain
Ferdous Sohel
M. Shiratuddin
Hamid Laga
VLM
3DV
45
761
0
06 Oct 2018
CanvasGAN: A simple baseline for text to image generation by
  incrementally patching a canvas
CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas
Amanpreet Singh
Sharan Agrawal
DiffM
31
5
0
05 Oct 2018
Towards High Resolution Video Generation with Progressive Growing of
  Sliced Wasserstein GANs
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs
Dinesh Acharya
Zhiwu Huang
D. Paudel
Luc Van Gool
GAN
11
68
0
04 Oct 2018
Sample Efficient Adaptive Text-to-Speech
Sample Efficient Adaptive Text-to-Speech
Yutian Chen
Yannis Assael
Brendan Shillingford
David Budden
Scott E. Reed
...
Ben Laurie
Çağlar Gülçehre
Aaron van den Oord
Oriol Vinyals
Nando de Freitas
35
149
0
27 Sep 2018
Variational Autoencoder with Implicit Optimal Priors
Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi
Tomoharu Iwata
Yuki Yamanaka
Masanori Yamada
Satoshi Yagi
DRL
34
61
0
14 Sep 2018
Diverse and Coherent Paragraph Generation from Images
Diverse and Coherent Paragraph Generation from Images
Moitreya Chatterjee
Alex Schwing
19
66
0
03 Sep 2018
Spherical Latent Spaces for Stable Variational Autoencoders
Spherical Latent Spaces for Stable Variational Autoencoders
Jiacheng Xu
Greg Durrett
BDL
DRL
14
193
0
31 Aug 2018
Manipulating Attributes of Natural Scenes via Hallucination
Manipulating Attributes of Natural Scenes via Hallucination
Levent Karacan
Zeynep Akata
Aykut Erdem
Erkut Erdem
33
23
0
22 Aug 2018
Text-to-image Synthesis via Symmetrical Distillation Networks
Text-to-image Synthesis via Symmetrical Distillation Networks
Mingkuan Yuan
Yuxin Peng
DiffM
33
37
0
21 Aug 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
29
71
0
14 Aug 2018
MT-VAE: Learning Motion Transformations to Generate Multimodal Human
  Dynamics
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics
Xinchen Yan
Akash Rastogi
Ruben Villegas
Kalyan Sunkavalli
Eli Shechtman
Sunil Hadap
Ersin Yumer
Honglak Lee
30
150
0
14 Aug 2018
Scene-LSTM: A Model for Human Trajectory Prediction
Scene-LSTM: A Model for Human Trajectory Prediction
H. Manh
G. Alaghband
HAI
43
115
0
12 Aug 2018
Iterative Amortized Inference
Iterative Amortized Inference
Joseph Marino
Yisong Yue
Stephan Mandt
BDL
DRL
26
165
0
24 Jul 2018
The Variational Homoencoder: Learning to learn high capacity generative
  models from few examples
The Variational Homoencoder: Learning to learn high capacity generative models from few examples
Luke B. Hewitt
Maxwell Nye
Andreea Gane
Tommi Jaakkola
J. Tenenbaum
BDL
DRL
GAN
31
68
0
24 Jul 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
100
16,177
0
17 Jul 2018
Combining Recurrent Neural Networks and Adversarial Training for Human
  Motion Synthesis and Control
Combining Recurrent Neural Networks and Adversarial Training for Human Motion Synthesis and Control
Zhiyong Wang
Jinxiang Chai
Shi-hong Xia
GAN
9
74
0
21 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical
  Imaging
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Xiaoran Chen
Nick Pawlowski
Martin Rajchl
Ben Glocker
E. Konukoglu
OOD
MedIm
22
49
0
14 Jun 2018
Learning to Decompose and Disentangle Representations for Video
  Prediction
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
Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder
Yaxiang Fan
G. Wen
Deren Li
S. Qiu
M. Levine
DRL
19
211
0
29 May 2018
Semi-Implicit Variational Inference
Semi-Implicit Variational Inference
Mingzhang Yin
Mingyuan Zhou
BDL
35
121
0
28 May 2018
Generative Creativity: Adversarial Learning for Bionic Design
Generative Creativity: Adversarial Learning for Bionic Design
Simiao Yu
Hao Dong
Pan Wang
Chao Wu
Yike Guo
GAN
35
8
0
19 May 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks
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
MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
Hyojin Park
Y. Yoo
Nojun Kwak
GAN
27
58
0
03 May 2018
MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories
  and head poses
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
33
119
0
02 May 2018
Understanding disentangling in $β$-VAE
Understanding disentangling in βββ-VAE
Christopher P. Burgess
I. Higgins
Arka Pal
Loic Matthey
Nicholas Watters
Guillaume Desjardins
Alexander Lerchner
CoGe
DRL
11
823
0
10 Apr 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning
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
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta
Justin Johnson
Li Fei-Fei
Silvio Savarese
Alexandre Alahi
GAN
126
1,888
0
29 Mar 2018
Emergence of grid-like representations by training recurrent neural
  networks to perform spatial localization
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher J. Cueva
Xue-Xin Wei
14
214
0
21 Mar 2018
Attention-GAN for Object Transfiguration in Wild Images
Attention-GAN for Object Transfiguration in Wild Images
Xinyuan Chen
Chang Xu
Xiaokang Yang
Dacheng Tao
34
176
0
19 Mar 2018
Neural Network Quine
Neural Network Quine
Oscar Chang
Hod Lipson
21
23
0
15 Mar 2018
Task Specific Visual Saliency Prediction with Memory Augmented
  Conditional Generative Adversarial Networks
Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks
Tharindu Fernando
Simon Denman
Sridha Sridharan
Clinton Fookes
GAN
14
24
0
09 Mar 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
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
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
ChatPainter: Improving Text to Image Generation using Dialogue
ChatPainter: Improving Text to Image Generation using Dialogue
Shikhar Sharma
Dendi Suhubdy
Vincent Michalski
Samira Ebrahimi Kahou
Yoshua Bengio
34
99
0
22 Feb 2018
Glimpse Clouds: Human Activity Recognition from Unstructured Feature
  Points
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
Fabien Baradel
Christian Wolf
J. Mille
Graham W. Taylor
35
150
0
22 Feb 2018
Semi-Amortized Variational Autoencoders
Semi-Amortized Variational Autoencoders
Yoon Kim
Sam Wiseman
Andrew C. Miller
David Sontag
Alexander M. Rush
BDL
DRL
33
243
0
07 Feb 2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
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
Variational Recurrent Neural Machine Translation
Jinsong Su
Shan Wu
Deyi Xiong
Yaojie Lu
Xianpei Han
Biao Zhang
DRL
41
83
0
16 Jan 2018
Crossing Generative Adversarial Networks for Cross-View Person
  Re-identification
Crossing Generative Adversarial Networks for Cross-View Person Re-identification
Chengyuan Zhang
Lin Wu
Yang Wang
GAN
22
31
0
04 Jan 2018
Recent Advances in Recurrent Neural Networks
Recent Advances in Recurrent Neural Networks
Hojjat Salehinejad
Sharan Sankar
Joseph Barfett
E. Colak
S. Valaee
AI4TS
30
574
0
29 Dec 2017
Learning Compact Recurrent Neural Networks with Block-Term Tensor
  Decomposition
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Jinmian Ye
Linnan Wang
Guangxi Li
Di Chen
Shandian Zhe
Xinqi Chu
Zenglin Xu
29
132
0
14 Dec 2017
Online Learning with Gated Linear Networks
Online Learning with Gated Linear Networks
J. Veness
Tor Lattimore
Avishkar Bhoopchand
A. Grabska-Barwinska
Christopher Mattern
Peter Toth
27
25
0
05 Dec 2017
Attentive Generative Adversarial Network for Raindrop Removal from a
  Single Image
Attentive Generative Adversarial Network for Raindrop Removal from a Single Image
Rui Qian
R. Tan
Wenhan Yang
Jiajun Su
Jiaying Liu
GAN
25
622
0
28 Nov 2017
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