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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
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking
ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking
F. Saleh
M. S. Aliakbarian
Mathieu Salzmann
Stephen Gould
DiffMVOT
94
13
0
16 Apr 2020
Compositional Visual Generation and Inference with Energy Based Models
Compositional Visual Generation and Inference with Energy Based Models
Yilun Du
Shuang Li
Igor Mordatch
CoGe
85
23
0
13 Apr 2020
Variational Autoencoders with Normalizing Flow Decoders
Variational Autoencoders with Normalizing Flow Decoders
Rogan Morrow
Wei-Chen Chiu
DRL
46
19
0
12 Apr 2020
Decoupling Global and Local Representations via Invertible Generative
  Flows
Decoupling Global and Local Representations via Invertible Generative Flows
Xuezhe Ma
X. Kong
Shanghang Zhang
Eduard H. Hovy
DRL
84
3
0
12 Apr 2020
Depthwise Discrete Representation Learning
Depthwise Discrete Representation Learning
Iordanis Fostiropoulos
BDL
38
0
0
11 Apr 2020
A Review on Deep Learning Techniques for Video Prediction
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
John Alejandro Castro-Vargas
S. Orts-Escolano
Jose Garcia-Rodriguez
Antonis Argyros
109
256
0
10 Apr 2020
Adversarial Latent Autoencoders
Adversarial Latent Autoencoders
Stanislav Pidhorskyi
Donald Adjeroh
Gianfranco Doretto
GANDRL
97
261
0
09 Apr 2020
Normalizing Flows with Multi-Scale Autoregressive Priors
Normalizing Flows with Multi-Scale Autoregressive Priors
Shweta Mahajan
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
Stefan Roth
BDLDRL
53
17
0
08 Apr 2020
State of the Art on Neural Rendering
State of the Art on Neural Rendering
A. Tewari
Ohad Fried
Justus Thies
Vincent Sitzmann
Stephen Lombardi
...
Christian Theobalt
Maneesh Agrawala
Eli Shechtman
Dan B. Goldman
Michael Zollhöfer
3DH3DV
131
473
0
08 Apr 2020
Semantic Image Manipulation Using Scene Graphs
Semantic Image Manipulation Using Scene Graphs
Helisa Dhamo
Azade Farshad
Iro Laina
Nassir Navab
Gregory Hager
Federico Tombari
Christian Rupprecht
113
121
0
07 Apr 2020
PatchVAE: Learning Local Latent Codes for Recognition
PatchVAE: Learning Local Latent Codes for Recognition
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
SSLDRL
51
20
0
07 Apr 2020
Training End-to-end Single Image Generators without GANs
Training End-to-end Single Image Generators without GANs
Yael Vinker
Nir Zabari
Yedid Hoshen
34
1
0
07 Apr 2020
Lossless Image Compression through Super-Resolution
Lossless Image Compression through Super-Resolution
Shengcao Cao
Chaoxia Wu
Philipp Krahenbuhl
72
40
0
06 Apr 2020
Levels of Analysis for Machine Learning
Levels of Analysis for Machine Learning
Jessica B. Hamrick
S. Mohamed
53
16
0
06 Apr 2020
TraDE: Transformers for Density Estimation
TraDE: Transformers for Density Estimation
Rasool Fakoor
Pratik Chaudhari
Jonas W. Mueller
Alex Smola
86
30
0
06 Apr 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
73
133
0
29 Mar 2020
MCFlow: Monte Carlo Flow Models for Data Imputation
MCFlow: Monte Carlo Flow Models for Data Imputation
Trevor W. Richardson
Wencheng Wu
Lei Lin
Beilei Xu
Edgar A. Bernal
OOD
80
48
0
27 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OODAI4CE
182
123
0
26 Mar 2020
BachGAN: High-Resolution Image Synthesis from Salient Object Layout
BachGAN: High-Resolution Image Synthesis from Salient Object Layout
Yandong Li
Yu Cheng
Zhe Gan
Licheng Yu
Liqiang Wang
Jingjing Liu
105
39
0
26 Mar 2020
Learning Layout and Style Reconfigurable GANs for Controllable Image
  Synthesis
Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis
Wei Sun
Tianfu Wu
97
84
0
25 Mar 2020
MetNet: A Neural Weather Model for Precipitation Forecasting
MetNet: A Neural Weather Model for Precipitation Forecasting
C. Sønderby
L. Espeholt
Jonathan Heek
Mostafa Dehghani
Avital Oliver
Tim Salimans
Shreya Agrawal
Jason Hickey
Nal Kalchbrenner
AI4Cl
309
278
0
24 Mar 2020
Learning Better Lossless Compression Using Lossy Compression
Learning Better Lossless Compression Using Lossy Compression
Fabian Mentzer
Luc Van Gool
Michael Tschannen
146
72
0
23 Mar 2020
Photo-Realistic Video Prediction on Natural Videos of Largely Changing
  Frames
Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames
O. Shouno
GAN
88
21
0
19 Mar 2020
SwapText: Image Based Texts Transfer in Scenes
SwapText: Image Based Texts Transfer in Scenes
Qiangpeng Yang
Hongsheng Jin
Jun Huang
Wei Lin
DiffM
87
68
0
18 Mar 2020
Blur, Noise, and Compression Robust Generative Adversarial Networks
Blur, Noise, and Compression Robust Generative Adversarial Networks
Takuhiro Kaneko
Tatsuya Harada
94
17
0
17 Mar 2020
Learning to Structure an Image with Few Colors
Learning to Structure an Image with Few Colors
Yunzhong Hou
Liang Zheng
Stephen Gould
MQ
90
20
0
17 Mar 2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
Patrick Knöbelreiter
Christian Sormann
Alexander Shekhovtsov
Friedrich Fraundorfer
Thomas Pock
74
22
0
13 Mar 2020
Autoencoders
Autoencoders
Dor Bank
Noam Koenigstein
Raja Giryes
HAI
36
0
0
12 Mar 2020
Generalized Energy Based Models
Generalized Energy Based Models
Michael Arbel
Liang Zhou
Arthur Gretton
DRL
179
81
0
10 Mar 2020
Using an ensemble color space model to tackle adversarial examples
Using an ensemble color space model to tackle adversarial examples
Shreyank N. Gowda
C. Yuan
AAML
30
1
0
10 Mar 2020
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel
  Attention
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention
Jiyang Xie
Dongliang Chang
Zhanyu Ma
Guoqiang Zhang
Jun Guo
68
25
0
10 Mar 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
Raphaël Dang-Nhu
Gagandeep Singh
Pavol Bielik
Martin Vechev
AI4TSAAML
84
21
0
08 Mar 2020
Training Deep Energy-Based Models with f-Divergence Minimization
Training Deep Energy-Based Models with f-Divergence Minimization
Lantao Yu
Yang Song
Jiaming Song
Stefano Ermon
238
44
0
06 Mar 2020
Finding online neural update rules by learning to remember
Finding online neural update rules by learning to remember
Karol Gregor
CLL
78
6
0
06 Mar 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders
Deterministic Decoding for Discrete Data in Variational Autoencoders
Daniil Polykovskiy
Dmitry Vetrov
OffRL
69
8
0
04 Mar 2020
Watch and learn -- a generalized approach for transferrable learning in
  deep neural networks via physical principles
Watch and learn -- a generalized approach for transferrable learning in deep neural networks via physical principles
Kyle Sprague
Juan Carrasquilla
S. Whitelam
Isaac Tamblyn
FedMLAI4CEOOD
34
5
0
03 Mar 2020
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating
  Method
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method
Wenhao Ding
Baiming Chen
Minjun Xu
Ding Zhao
81
114
0
02 Mar 2020
DGST : Discriminator Guided Scene Text detector
DGST : Discriminator Guided Scene Text detector
Jinyuan Zhao
Yanna Wang
Baihua Xiao
Cunzhao Shi
Fuxi Jia
Chunheng Wang
22
0
0
28 Feb 2020
Woodbury Transformations for Deep Generative Flows
Woodbury Transformations for Deep Generative Flows
You Lu
Bert Huang
85
16
0
27 Feb 2020
Hierarchical Memory Decoding for Video Captioning
Hierarchical Memory Decoding for Video Captioning
Aming Wu
Yahong Han
44
2
0
27 Feb 2020
Policy Evaluation Networks
Policy Evaluation Networks
J. Harb
Tom Schaul
Doina Precup
Pierre-Luc Bacon
OffRL
60
37
0
26 Feb 2020
Learning to Select Bi-Aspect Information for Document-Scale Text Content
  Manipulation
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation
Xiaocheng Feng
Yawei Sun
Bing Qin
Heng Gong
Yibo Sun
Wei Bi
Xiaojiang Liu
Ting Liu
41
5
0
24 Feb 2020
PolyGen: An Autoregressive Generative Model of 3D Meshes
PolyGen: An Autoregressive Generative Model of 3D Meshes
C. Nash
Yaroslav Ganin
A. Eslami
Peter W. Battaglia
AI4CE
112
262
0
23 Feb 2020
Predictive Sampling with Forecasting Autoregressive Models
Predictive Sampling with Forecasting Autoregressive Models
Auke Wiggers
Emiel Hoogeboom
BDL
68
16
0
23 Feb 2020
VFlow: More Expressive Generative Flows with Variational Data
  Augmentation
VFlow: More Expressive Generative Flows with Variational Data Augmentation
Jianfei Chen
Cheng Lu
Biqi Chenli
Jun Zhu
Tian Tian
DRL
90
63
0
22 Feb 2020
MAST: A Memory-Augmented Self-supervised Tracker
MAST: A Memory-Augmented Self-supervised Tracker
Zihang Lai
Erika Lu
Weidi Xie
VOS
114
186
0
18 Feb 2020
SentenceMIM: A Latent Variable Language Model
SentenceMIM: A Latent Variable Language Model
M. Livne
Kevin Swersky
David J. Fleet
VLM
96
6
0
18 Feb 2020
A Survey of Deep Learning Techniques for Neural Machine Translation
A Survey of Deep Learning Techniques for Neural Machine Translation
Shu Yang
Yuxin Wang
Xiaowen Chu
VLMAI4TSAI4CE
106
140
0
18 Feb 2020
Deep Gaussian Markov Random Fields
Deep Gaussian Markov Random Fields
Per Sidén
Fredrik Lindsten
BDL
59
22
0
18 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows
  and Latent Variable Models
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang
Laurent Dinh
Aaron Courville
DRL
115
89
0
17 Feb 2020
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