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Pixel Recurrent Neural Networks

Pixel Recurrent Neural Networks

25 January 2016
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
    SSeg
    GAN
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Papers citing "Pixel Recurrent Neural Networks"

50 / 1,379 papers shown
Title
Progressively Diffused Networks for Semantic Image Segmentation
Progressively Diffused Networks for Semantic Image Segmentation
Ruimao Zhang
Wei Yang
Zhanglin Peng
Xiaogang Wang
Liang Lin
SSeg
14
3
0
20 Feb 2017
One-Step Time-Dependent Future Video Frame Prediction with a
  Convolutional Encoder-Decoder Neural Network
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network
Vedran Vukotic
S. Pintea
C. Raymond
G. Gravier
Jan van Gemert
26
46
0
14 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation
A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
23
251
0
08 Feb 2017
Representations of language in a model of visually grounded speech
  signal
Representations of language in a model of visually grounded speech signal
Grzegorz Chrupała
Lieke Gelderloos
A. Alishahi
41
131
0
07 Feb 2017
Pixel Recursive Super Resolution
Pixel Recursive Super Resolution
Ryan Dahl
Mohammad Norouzi
Jonathon Shlens
SupR
31
251
0
02 Feb 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
17
931
0
19 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and
  Generative Adversarial Networks
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
BDL
49
525
0
17 Jan 2017
Image Generation and Editing with Variational Info Generative
  AdversarialNetworks
Image Generation and Editing with Variational Info Generative AdversarialNetworks
Mahesh Gorijala
Ambedkar Dukkipati
GAN
18
15
0
17 Jan 2017
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent
  Neural Networks
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
Marwin H. S. Segler
T. Kogej
C. Tyrchan
M. Waller
30
96
0
05 Jan 2017
Sequence-to-point learning with neural networks for nonintrusive load
  monitoring
Sequence-to-point learning with neural networks for nonintrusive load monitoring
Chaoyun Zhang
Mingjun Zhong
Zong-Hui Wang
Nigel H. Goddard
Charles Sutton
29
490
0
29 Dec 2016
PixelCNN Models with Auxiliary Variables for Natural Image Modeling
PixelCNN Models with Auxiliary Variables for Natural Image Modeling
Alexander Kolesnikov
Christoph H. Lampert
GAN
19
3
0
24 Dec 2016
Language Modeling with Gated Convolutional Networks
Language Modeling with Gated Convolutional Networks
Yann N. Dauphin
Angela Fan
Michael Auli
David Grangier
48
2,360
0
23 Dec 2016
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Soroush Mehri
Kundan Kumar
Ishaan Gulrajani
Rithesh Kumar
Shubham Jain
Jose M. R. Sotelo
Aaron Courville
Yoshua Bengio
20
595
0
22 Dec 2016
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
25
1,797
0
22 Dec 2016
Graphical RNN Models
Graphical RNN Models
Ashish Bora
Sugato Basu
Joydeep Ghosh
AI4TS
AI4CE
28
0
0
15 Dec 2016
Recurrent Image Captioner: Describing Images with Spatial-Invariant
  Transformation and Attention Filtering
Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering
Hao Liu
Yang Yang
Fumin Shen
Lixin Duan
Heng Tao Shen
30
9
0
15 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
J. Hopcroft
Serge J. Belongie
GAN
22
458
0
13 Dec 2016
Compressive Image Recovery Using Recurrent Generative Model
Compressive Image Recovery Using Recurrent Generative Model
Akshat Dave
Anil Kumar Vadathya
Kaushik Mitra
GAN
22
21
0
13 Dec 2016
Generative Adversarial Parallelization
Generative Adversarial Parallelization
Daniel Jiwoong Im
He Ma
C. Kim
Graham W. Taylor
GAN
30
38
0
13 Dec 2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
68
2,702
0
10 Dec 2016
An Architecture for Deep, Hierarchical Generative Models
An Architecture for Deep, Hierarchical Generative Models
Philip Bachman
AI4CE
BDL
33
53
0
08 Dec 2016
Improving the Performance of Neural Networks in Regression Tasks Using
  Drawering
Improving the Performance of Neural Networks in Regression Tasks Using Drawering
Konrad Zolna
17
2
0
05 Dec 2016
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy
Jingwan Lu
Chen Fang
Feng Yu
James Hays
GAN
DiffM
29
497
0
02 Dec 2016
Learning to Generate Images of Outdoor Scenes from Attributes and
  Semantic Layouts
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Levent Karacan
Zeynep Akata
Aykut Erdem
Erkut Erdem
GAN
31
186
0
01 Dec 2016
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive
  Architectures
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures
Gaurav Mittal
Tanya Marwah
V. Balasubramanian
VGen
DiffM
38
67
0
30 Nov 2016
High-Resolution Image Inpainting using Multi-Scale Neural Patch
  Synthesis
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
Chao Yang
Xin Lu
Zhe-nan Lin
Eli Shechtman
Oliver Wang
Hao Li
21
779
0
30 Nov 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel
  Prediction
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
SSL
DRL
31
665
0
29 Nov 2016
Improving Variational Auto-Encoders using Householder Flow
Improving Variational Auto-Encoders using Householder Flow
Jakub M. Tomczak
Max Welling
BDL
DRL
29
173
0
29 Nov 2016
Scene Labeling using Gated Recurrent Units with Explicit Long Range
  Conditioning
Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning
Qiangui Huang
Weiyue Wang
S. Kevin Zhou
Suya You
Ulrich Neumann
21
4
0
22 Nov 2016
SANet: Structure-Aware Network for Visual Tracking
SANet: Structure-Aware Network for Visual Tracking
Heng Fan
Haibin Ling
46
232
0
21 Nov 2016
Prototypical Recurrent Unit
Prototypical Recurrent Unit
Dingkun Long
Richong Zhang
Yongyi Mao
14
6
0
20 Nov 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial
  Networks
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
Emily L. Denton
Sam Gross
Rob Fergus
GAN
27
150
0
19 Nov 2016
Composing Music with Grammar Argumented Neural Networks and Note-Level
  Encoding
Composing Music with Grammar Argumented Neural Networks and Note-Level Encoding
Zheng Sun
Jiaqi Liu
Zewang Zhang
Jingwen Chen
Zhao Huo
Ching Hua Lee
Xiao Zhang
MGen
14
10
0
16 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction
Deep Variational Inference Without Pixel-Wise Reconstruction
Siddharth Agrawal
Ambedkar Dukkipati
DRL
3DV
BDL
27
13
0
16 Nov 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to
  Clustering
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDL
DRL
24
723
0
16 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images
PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani
Kundan Kumar
Faruk Ahmed
Adrien Ali Taïga
Francesco Visin
David Vazquez
Aaron Courville
DRL
SSL
BDL
25
339
0
15 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
43
759
0
15 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models
On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu
Yuri Burda
Ruslan Salakhutdinov
Roger C. Grosse
GAN
22
223
0
14 Nov 2016
A Connection between Generative Adversarial Networks, Inverse
  Reinforcement Learning, and Energy-Based Models
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn
Paul Christiano
Pieter Abbeel
Sergey Levine
OffRL
AI4CE
GAN
19
350
0
11 Nov 2016
Learning to Navigate in Complex Environments
Learning to Navigate in Complex Environments
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
...
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
16
873
0
11 Nov 2016
Variational Lossy Autoencoder
Variational Lossy Autoencoder
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRL
SSL
GAN
35
671
0
08 Nov 2016
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
59
1,001
0
07 Nov 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Learning to Perform Physics Experiments via Deep Reinforcement Learning
Misha Denil
Pulkit Agrawal
Tejas D. Kulkarni
Tom Erez
Peter W. Battaglia
Nando de Freitas
AI4CE
32
338
0
06 Nov 2016
End-to-end Optimized Image Compression
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
27
1,684
0
05 Nov 2016
Quasi-Recurrent Neural Networks
Quasi-Recurrent Neural Networks
James Bradbury
Stephen Merity
Caiming Xiong
R. Socher
44
437
0
05 Nov 2016
Flood-Filling Networks
Flood-Filling Networks
Michał Januszewski
Jeremy B. Maitin-Shepard
Peter H. Li
J. Kornfeld
W. Denk
Viren Jain
74
43
0
01 Nov 2016
Neural Machine Translation in Linear Time
Neural Machine Translation in Linear Time
Nal Kalchbrenner
L. Espeholt
Karen Simonyan
Aaron van den Oord
Alex Graves
Koray Kavukcuoglu
AIMat
30
548
0
31 Oct 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
66
588
0
27 Oct 2016
Deep Identity-aware Transfer of Facial Attributes
Deep Identity-aware Transfer of Facial Attributes
Mu Li
W. Zuo
David C. Zhang
CVBM
32
149
0
18 Oct 2016
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