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Pixel Recurrent Neural Networks
v1v2v3 (latest)

Pixel Recurrent Neural Networks

25 January 2016
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
    SSegGAN
ArXiv (abs)PDFHTML

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown
Title
SynFi: Automatic Synthetic Fingerprint Generation
SynFi: Automatic Synthetic Fingerprint Generation
M. Riazi
Seyed M. Chavoshian
F. Koushanfar
48
17
0
16 Feb 2020
Universal Value Density Estimation for Imitation Learning and
  Goal-Conditioned Reinforcement Learning
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
Yannick Schroecker
Charles Isbell
OffRL
88
13
0
15 Feb 2020
ARMA Nets: Expanding Receptive Field for Dense Prediction
ARMA Nets: Expanding Receptive Field for Dense Prediction
Jiahao Su
Shiqi Wang
Furong Huang
65
1
0
15 Feb 2020
Learning End-to-End Lossy Image Compression: A Benchmark
Learning End-to-End Lossy Image Compression: A Benchmark
Yueyu Hu
Wenhan Yang
Zhan Ma
Jiaying Liu
129
166
0
10 Feb 2020
Face Hallucination with Finishing Touches
Face Hallucination with Finishing Touches
Yang Zhang
Ivor W. Tsang
Jun Li
Ping Liu
Xiaobo Lu
Xin Yu
CVBMSupR
75
28
0
09 Feb 2020
How to train your neural ODE: the world of Jacobian and kinetic
  regularization
How to train your neural ODE: the world of Jacobian and kinetic regularization
Chris Finlay
J. Jacobsen
L. Nurbekyan
Adam M. Oberman
94
302
0
07 Feb 2020
Multimodal Controller for Generative Models
Multimodal Controller for Generative Models
Enmao Diao
Jie Ding
Vahid Tarokh
77
3
0
07 Feb 2020
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow
Didrik Nielsen
Ole Winther
MQ
235
13
0
06 Feb 2020
Forecasting Industrial Aging Processes with Machine Learning Methods
Forecasting Industrial Aging Processes with Machine Learning Methods
Mihail Bogojeski
Simeon Sauer
F. Horn
K. Müller
AI4CE
25
21
0
05 Feb 2020
Continuous Melody Generation via Disentangled Short-Term Representations
  and Structural Conditions
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions
Kai Chen
Gus Xia
Shlomo Dubnov
MGen
67
18
0
05 Feb 2020
On Positive-Unlabeled Classification in GAN
On Positive-Unlabeled Classification in GAN
Tianyu Guo
Chang Xu
Jiajun Huang
Yunhe Wang
Boxin Shi
Chao Xu
Dacheng Tao
GAN
61
35
0
04 Feb 2020
Teaching Machines to Converse
Teaching Machines to Converse
Jiwei Li
91
4
0
31 Jan 2020
Learning Discrete Distributions by Dequantization
Learning Discrete Distributions by Dequantization
Emiel Hoogeboom
Taco S. Cohen
Jakub M. Tomczak
DRL
104
31
0
30 Jan 2020
Lossless Compression of Mosaic Images with Convolutional Neural Network
  Prediction
Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction
Seyed Mehdi Ayyoubzadeh
Xiaolin Wu
44
3
0
28 Jan 2020
Unsupervised Program Synthesis for Images By Sampling Without
  Replacement
Unsupervised Program Synthesis for Images By Sampling Without Replacement
Chenghui Zhou
Chun-Liang Li
Barnabás Póczós
74
1
0
27 Jan 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
237
439
0
26 Jan 2020
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar
  Micro-Doppler Signatures
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures
B. Erol
S. Gurbuz
M. Amin
24
66
0
19 Jan 2020
Text-to-Image Generation with Attention Based Recurrent Neural Networks
Text-to-Image Generation with Attention Based Recurrent Neural Networks
Tehseen Zia
Shahan Arif
Shakeeb Murtaza
M. A. Ullah
35
7
0
18 Jan 2020
Boosting Occluded Image Classification via Subspace Decomposition Based
  Estimation of Deep Features
Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features
Feng Cen
Guanghui Wang
87
32
0
13 Jan 2020
Towards GAN Benchmarks Which Require Generalization
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
106
59
0
10 Jan 2020
Deep Learning for Free-Hand Sketch: A Survey
Deep Learning for Free-Hand Sketch: A Survey
Peng Xu
Timothy M. Hospedales
Qiyue Yin
Yi-Zhe Song
Tao Xiang
Liang Wang
3DV
135
120
0
08 Jan 2020
Informative Sample Mining Network for Multi-Domain Image-to-Image
  Translation
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation
Jie Cao
Huaibo Huang
Yi Li
Ran He
Zhenan Sun
126
7
0
05 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual
  Learning
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Soochan Lee
Junsoo Ha
Dongsu Zhang
Gunhee Kim
BDLCLL
90
212
0
03 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
96
82
0
02 Jan 2020
Model Inversion Networks for Model-Based Optimization
Model Inversion Networks for Model-Based Optimization
Aviral Kumar
Sergey Levine
OffRL
97
100
0
31 Dec 2019
Semi-Supervised Learning with Normalizing Flows
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov
Polina Kirichenko
Marc Finzi
A. Wilson
DRLBDL
95
115
0
30 Dec 2019
Axial Attention in Multidimensional Transformers
Axial Attention in Multidimensional Transformers
Jonathan Ho
Nal Kalchbrenner
Dirk Weissenborn
Tim Salimans
117
534
0
20 Dec 2019
Adversarial symmetric GANs: bridging adversarial samples and adversarial
  networks
Adversarial symmetric GANs: bridging adversarial samples and adversarial networks
Faqiang Liu
M. Xu
Guoqi Li
Jing Pei
Luping Shi
R. Zhao
AAMLGAN
36
11
0
20 Dec 2019
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection
A. Braunegg
Amartya Chakraborty
Michael Krumdick
Nicole Lape
Sara Leary
Keith Manville
Elizabeth M. Merkhofer
Laura Strickhart
Matthew Walmer
AAML
71
47
0
17 Dec 2019
A Transferable Adaptive Domain Adversarial Neural Network for Virtual
  Reality Augmented EMG-Based Gesture Recognition
A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition
Ulysse Côté-Allard
Gabriel Gagnon-Turcotte
A. Phinyomark
K. Glette
Erik J. Scheme
François Laviolette
Benoit Gosselin
26
7
0
16 Dec 2019
Learning Canonical Representations for Scene Graph to Image Generation
Learning Canonical Representations for Scene Graph to Image Generation
Roei Herzig
Amir Bar
Huijuan Xu
Gal Chechik
Trevor Darrell
Amir Globerson
GNNOCL
109
109
0
16 Dec 2019
Learned Video Compression via Joint Spatial-Temporal Correlation
  Exploration
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
Haojie Liu
Han shen
Lichao Huang
Ming Lu
Tong Chen
Zhan Ma
72
58
0
13 Dec 2019
BINet: a binary inpainting network for deep patch-based image
  compression
BINet: a binary inpainting network for deep patch-based image compression
A. Nortje
Willie Brink
H. Engelbrecht
Herman Kamper
MQ
38
7
0
11 Dec 2019
Deep symbolic regression: Recovering mathematical expressions from data
  via risk-seeking policy gradients
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Brenden K. Petersen
Mikel Landajuela
T. Nathan Mundhenk
Claudio Santiago
Soo K. Kim
Joanne T. Kim
68
320
0
10 Dec 2019
Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems
Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems
F. Lanusse
Peter Melchior
Fred Moolekamp
BDL
63
12
0
09 Dec 2019
Neural Networks with Cheap Differential Operators
Neural Networks with Cheap Differential Operators
Ricky T. Q. Chen
David Duvenaud
67
35
0
08 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPMAI4CE
219
1,724
0
05 Dec 2019
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DVAI4TSMedIm
140
332
0
04 Dec 2019
Flow Contrastive Estimation of Energy-Based Models
Flow Contrastive Estimation of Energy-Based Models
Ruiqi Gao
Erik Nijkamp
Diederik P. Kingma
Zhen Xu
Andrew M. Dai
Ying Nian Wu
GAN
101
115
0
02 Dec 2019
Learning Likelihoods with Conditional Normalizing Flows
Learning Likelihoods with Conditional Normalizing Flows
Christina Winkler
Daniel E. Worrall
Emiel Hoogeboom
Max Welling
TPM
309
227
0
29 Nov 2019
Noise Robust Generative Adversarial Networks
Noise Robust Generative Adversarial Networks
Takuhiro Kaneko
Tatsuya Harada
NoLaOOD
112
31
0
26 Nov 2019
Natural Image Manipulation for Autoregressive Models Using Fisher Scores
Natural Image Manipulation for Autoregressive Models Using Fisher Scores
Wilson Yan
Jonathan Ho
Pieter Abbeel
28
0
0
25 Nov 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs
dpVAEs: Fixing Sample Generation for Regularized VAEs
Riddhish Bhalodia
Iain Lee
Shireen Y. Elhabian
DRL
126
10
0
24 Nov 2019
Self-Enhanced Convolutional Network for Facial Video Hallucination
Self-Enhanced Convolutional Network for Facial Video Hallucination
Chaowei Fang
Guanbin Li
Xiaoguang Han
Yizhou Yu
SupR
65
9
0
23 Nov 2019
Adversarial Robustness of Flow-Based Generative Models
Adversarial Robustness of Flow-Based Generative Models
Phillip E. Pope
Yogesh Balaji
Soheil Feizi
AAML
48
20
0
20 Nov 2019
Sibling Neural Estimators: Improving Iterative Image Decoding with
  Gradient Communication
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication
A. Mali
Alexander Ororbia
C. Lee Giles
GAN
53
6
0
20 Nov 2019
Human Annotations Improve GAN Performances
Human Annotations Improve GAN Performances
Juanyong Duan
S. Ong
Qi Zhao
37
0
0
15 Nov 2019
Location-aware Upsampling for Semantic Segmentation
Location-aware Upsampling for Semantic Segmentation
Xiangyu He
Zitao Mo
Qiang Chen
Anda Cheng
Peisong Wang
Jian Cheng
57
2
0
13 Nov 2019
Experience-Embedded Visual Foresight
Experience-Embedded Visual Foresight
Yen-Chen Lin
Maria Bauzá
Phillip Isola
117
36
0
12 Nov 2019
Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random
  Indices
Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices
Foroozan Karimzadeh
N. Cao
Brian Crafton
Justin Romberg
A. Raychowdhury
34
13
0
09 Nov 2019
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