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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
Improving Adversarial Robustness by Enforcing Local and Global
  Compactness
Improving Adversarial Robustness by Enforcing Local and Global Compactness
Anh-Vu Bui
Trung Le
He Zhao
Paul Montague
O. deVel
Tamas Abraham
Dinh Q. Phung
AAML
62
24
0
10 Jul 2020
Neural Video Coding using Multiscale Motion Compensation and
  Spatiotemporal Context Model
Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model
Haojie Liu
Ming Lu
Zhan Ma
Fan Wang
Zhihuang Xie
Xun Cao
Yao Wang
69
82
0
09 Jul 2020
Statistical post-processing of wind speed forecasts using convolutional
  neural networks
Statistical post-processing of wind speed forecasts using convolutional neural networks
S. Veldkamp
K. Whan
S. Dirksen
M. Schmeits
24
11
0
08 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
143
919
0
08 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score
  Matching
Efficient Learning of Generative Models via Finite-Difference Score Matching
Tianyu Pang
Kun Xu
Chongxuan Li
Yang Song
Stefano Ermon
Jun Zhu
DiffM
104
55
0
07 Jul 2020
Gradient Origin Networks
Gradient Origin Networks
Sam Bond-Taylor
Chris G. Willcocks
BDLDRL
93
18
0
06 Jul 2020
Deep neural networks for the evaluation and design of photonic devices
Deep neural networks for the evaluation and design of photonic devices
Jiaqi Jiang
Ming-Keh Chen
Jonathan A. Fan
99
411
0
30 Jun 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical
  Distribution
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution
Hadi Pouransari
Mojan Javaheripi
Vinay Sharma
Oncel Tuzel
45
5
0
30 Jun 2020
Conditional GAN for timeseries generation
Conditional GAN for timeseries generation
Kaleb E. Smith
Anthony O. Smith
AI4TS
75
82
0
30 Jun 2020
VAE-KRnet and its applications to variational Bayes
VAE-KRnet and its applications to variational Bayes
Xiaoliang Wan
Shuangqing Wei
BDLDRL
89
13
0
29 Jun 2020
LayoutTransformer: Layout Generation and Completion with Self-attention
LayoutTransformer: Layout Generation and Completion with Self-attention
Kamal Gupta
Justin Lazarow
Alessandro Achille
Larry S. Davis
Vijay Mahadevan
Abhinav Shrivastava
ViT
108
137
0
25 Jun 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
Andreas Lugmayr
Martin Danelljan
Luc Van Gool
Radu Timofte
SupRDRL
113
362
0
25 Jun 2020
Locally Masked Convolution for Autoregressive Models
Locally Masked Convolution for Autoregressive Models
Ajay Jain
Pieter Abbeel
Deepak Pathak
DiffMOffRL
120
32
0
22 Jun 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless
  Compression
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
Rianne van den Berg
A. Gritsenko
Mostafa Dehghani
C. Sønderby
Tim Salimans
92
61
0
22 Jun 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single
  Sample
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
Shir Gur
Sagie Benaim
Lior Wolf
VGenGANDRL
89
70
0
22 Jun 2020
Generating Annotated High-Fidelity Images Containing Multiple Coherent
  Objects
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects
Bryan G. Cardenas
Devanshu Arya
D. K. Gupta
DiffM
108
6
0
22 Jun 2020
Continual Learning in Recurrent Neural Networks
Continual Learning in Recurrent Neural Networks
Benjamin Ehret
Christian Henning
Maria R. Cervera
Alexander Meulemans
J. Oswald
Benjamin Grewe
CLL
83
9
0
22 Jun 2020
Deep Residual Mixture Models
Deep Residual Mixture Models
Perttu Hämäläinen
Martin Trapp
Tuure Saloheimo
Arno Solin
77
8
0
22 Jun 2020
Learning compact generalizable neural representations supporting
  perceptual grouping
Learning compact generalizable neural representations supporting perceptual grouping
Vijay Veerabadran
V. D. Sa
58
2
0
21 Jun 2020
A survey of face recognition techniques under occlusion
A survey of face recognition techniques under occlusion
Dan Zeng
Raymond N. J. Veldhuis
Luuk J. Spreeuwers
CVBM
71
133
0
19 Jun 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
1.0K
18,532
0
19 Jun 2020
Towards Recurrent Autoregressive Flow Models
Towards Recurrent Autoregressive Flow Models
John Mern
Peter Morales
Mykel J. Kochenderfer
BDL
25
0
0
17 Jun 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Polina Kirichenko
Pavel Izmailov
A. Wilson
OODD
128
278
0
15 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
215
1,648
0
15 Jun 2020
Query Training: Learning a Worse Model to Infer Better Marginals in
  Undirected Graphical Models with Hidden Variables
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables
Miguel Lázaro-Gredilla
Wolfgang Lehrach
Nishad Gothoskar
Guangyao Zhou
Antoine Dedieu
Dileep George
TPM
35
1
0
11 Jun 2020
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
Sang-gil Lee
Sungwon Kim
Sungroh Yoon
77
17
0
11 Jun 2020
Sensorimotor Visual Perception on Embodied System Using Free Energy
  Principle
Sensorimotor Visual Perception on Embodied System Using Free Energy Principle
Kanako Esaki
Tadayuki Matsumura
Kiyoto Ito
Hiroyuki Mizuno
42
3
0
11 Jun 2020
Speech Fusion to Face: Bridging the Gap Between Human's Vocal
  Characteristics and Facial Imaging
Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging
Yeqi Bai
Tao Ma
Lipo Wang
Zhenjie Zhang
CVBM
27
9
0
10 Jun 2020
Deep generative models for musical audio synthesis
Deep generative models for musical audio synthesis
M. Huzaifah
L. Wyse
210
20
0
10 Jun 2020
Super-resolution Variational Auto-Encoders
Super-resolution Variational Auto-Encoders
Ioannis Gatopoulos
M. Stol
Jakub M. Tomczak
SupRDiffM
58
15
0
09 Jun 2020
A non-causal FFTNet architecture for speech enhancement
A non-causal FFTNet architecture for speech enhancement
P. V. M. Shifas
Nagaraj Adiga
Vassilis Tsiaras
Y. Stylianou
AI4TS
29
11
0
08 Jun 2020
3D Self-Supervised Methods for Medical Imaging
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb
W. Loetzsch
Noel Danz
Julius Severin
Thomas Gaertner
Benjamin Bergner
C. Lippert
SSL
129
214
0
06 Jun 2020
Hyperparameter optimization with REINFORCE and Transformers
Hyperparameter optimization with REINFORCE and Transformers
C. Krishna
Ashish Gupta
Swarnim Narayan
Himanshu Rai
Diksha Manchanda
54
2
0
01 Jun 2020
Fully probabilistic quasar continua predictions near Lyman-α with
  conditional neural spline flows
Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flows
D. Reiman
John Tamanas
J. Prochaska
Dominika Ďurovčíková
61
6
0
31 May 2020
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake
  Voices
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices
Run Wang
Felix Juefei Xu
Yihao Huang
Qing Guo
Xiaofei Xie
Lei Ma
Yang Liu
AAML
80
107
0
28 May 2020
Contextual Residual Aggregation for Ultra High-Resolution Image
  Inpainting
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
Zili Yi
Qiang Tang
Shekoofeh Azizi
Daesik Jang
Zhan Xu
83
308
0
19 May 2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier
  Test Input Generation
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation
Sungmin Kang
R. Feldt
S. Yoo
AAML
92
32
0
19 May 2020
On Intrinsic Dataset Properties for Adversarial Machine Learning
On Intrinsic Dataset Properties for Adversarial Machine Learning
J. Z. Pan
Nicholas Zufelt
AAML
40
1
0
19 May 2020
Color Visual Illusions: A Statistics-based Computational Model
Color Visual Illusions: A Statistics-based Computational Model
Elad Hirsch
A. Tal
AAML
20
0
0
18 May 2020
Unconditional Audio Generation with Generative Adversarial Networks and
  Cycle Regularization
Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization
Jen-Yu Liu
Yu-Hua Chen
Yin-Cheng Yeh
Yi-Hsuan Yang
GAN
71
35
0
18 May 2020
Robust Training of Vector Quantized Bottleneck Models
Robust Training of Vector Quantized Bottleneck Models
A. Lancucki
J. Chorowski
Guillaume Sanchez
R. Marxer
Nanxin Chen
Hans J. G. A. Dolfing
Sameer Khurana
Tanel Alumäe
Antoine Laurent
86
60
0
18 May 2020
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
Lila Huang
Shenlong Wang
K. Wong
Jerry Liu
R. Urtasun
3DPC
68
146
0
14 May 2020
A review of radar-based nowcasting of precipitation and applicable
  machine learning techniques
A review of radar-based nowcasting of precipitation and applicable machine learning techniques
R. Prudden
Samantha V. Adams
D. Kangin
Nial H. Robinson
Suman V. Ravuri
S. Mohamed
A. Arribas
AI4ClOffRL
94
45
0
11 May 2020
Learning Context-Based Non-local Entropy Modeling for Image Compression
Learning Context-Based Non-local Entropy Modeling for Image Compression
Mu Li
Peng Sun
W. Zuo
Radu Timofte
David C. Zhang
43
10
0
10 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions,
  and Future Directions
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions
Divya Saxena
Jiannong Cao
AAMLAI4CE
156
307
0
30 Apr 2020
On the Limits to Multi-Modal Popularity Prediction on Instagram -- A New
  Robust, Efficient and Explainable Baseline
On the Limits to Multi-Modal Popularity Prediction on Instagram -- A New Robust, Efficient and Explainable Baseline
Christoffer Riis
D. Kowalczyk
Lars Kai Hansen
28
2
0
26 Apr 2020
Discrete Variational Attention Models for Language Generation
Discrete Variational Attention Models for Language Generation
Xianghong Fang
Haoli Bai
Zenglin Xu
Michael Lyu
Irwin King
DRL
49
0
0
21 Apr 2020
Quality Guided Sketch-to-Photo Image Synthesis
Quality Guided Sketch-to-Photo Image Synthesis
Uche M. Osahor
Hadi Kazemi
Ali Dabouei
Nasser M. Nasrabadi
GAN
65
17
0
20 Apr 2020
End-to-End Learning for Video Frame Compression with Self-Attention
End-to-End Learning for Video Frame Compression with Self-Attention
Nannan Zou
Honglei Zhang
Francesco Cricri
Hamed R. Tavakoli
J. Lainema
Emre B. Aksu
M. Hannuksela
Esa Rahtu
25
10
0
20 Apr 2020
On the use of Benford's law to detect GAN-generated images
On the use of Benford's law to detect GAN-generated images
Nicolo Bonettini
Paolo Bestagini
Simone Milani
Stefano Tubaro
GAN
46
39
0
16 Apr 2020
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