ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1601.06759
  4. Cited By
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
Count-Based Exploration with Neural Density Models
Count-Based Exploration with Neural Density Models
Georg Ostrovski
Marc G. Bellemare
Aaron van den Oord
Rémi Munos
104
626
0
03 Mar 2017
Toward Controlled Generation of Text
Toward Controlled Generation of Text
Zhiting Hu
Zichao Yang
Xiaodan Liang
Ruslan Salakhutdinov
Eric Xing
263
990
0
02 Mar 2017
Lossy Image Compression with Compressive Autoencoders
Lossy Image Compression with Compressive Autoencoders
Lucas Theis
Wenzhe Shi
Andrew Cunningham
Ferenc Huszár
81
1,056
0
01 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models
Towards Deeper Understanding of Variational Autoencoding Models
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
88
158
0
28 Feb 2017
Boosted Generative Models
Boosted Generative Models
Aditya Grover
Stefano Ermon
92
51
0
27 Feb 2017
Deep Voice: Real-time Neural Text-to-Speech
Deep Voice: Real-time Neural Text-to-Speech
Sercan O. Arik
Mike Chrzanowski
Adam Coates
G. Diamos
Andrew Gibiansky
...
John Miller
Andrew Ng
Jonathan Raiman
Shubho Sengupta
Mohammad Shoeybi
105
617
0
25 Feb 2017
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term
  Dependencies
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies
R. DiPietro
Christian Rupprecht
Nassir Navab
Gregory Hager
44
26
0
24 Feb 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm3DVVLM
145
225
0
24 Feb 2017
Deep Nonparametric Estimation of Discrete Conditional Distributions via
  Smoothed Dyadic Partitioning
Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning
Wesley Tansey
Karl Pichotta
James G. Scott
24
0
0
23 Feb 2017
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
23
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
81
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
103
253
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
Afra Alishahi
122
131
0
07 Feb 2017
Pixel Recursive Super Resolution
Pixel Recursive Super Resolution
Ryan Dahl
Mohammad Norouzi
Jonathon Shlens
SupR
150
252
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
143
945
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
GANBDL
175
530
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
59
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
118
97
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
95
504
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
71
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
266
2,415
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
116
599
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
113
1,803
0
22 Dec 2016
Graphical RNN Models
Graphical RNN Models
Ashish Bora
Sugato Basu
Joydeep Ghosh
AI4TSAI4CE
38
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
65
9
0
15 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
109
459
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
87
21
0
13 Dec 2016
Generative Adversarial Parallelization
Generative Adversarial Parallelization
Daniel Jiwoong Im
He Ma
C. Kim
Graham W. Taylor
GAN
89
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
155
2,730
0
10 Dec 2016
An Architecture for Deep, Hierarchical Generative Models
An Architecture for Deep, Hierarchical Generative Models
Philip Bachman
AI4CEBDL
96
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
27
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
GANDiffM
119
500
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
101
188
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
VGenDiffM
101
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 Lin
Eli Shechtman
Oliver Wang
Hao Li
86
781
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
SSLDRL
103
669
0
29 Nov 2016
Improving Variational Auto-Encoders using Householder Flow
Improving Variational Auto-Encoders using Householder Flow
Jakub M. Tomczak
Max Welling
BDLDRL
126
175
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
48
4
0
22 Nov 2016
SANet: Structure-Aware Network for Visual Tracking
SANet: Structure-Aware Network for Visual Tracking
Heng Fan
Haibin Ling
110
233
0
21 Nov 2016
Prototypical Recurrent Unit
Prototypical Recurrent Unit
Dingkun Long
Richong Zhang
Yongyi Mao
39
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
90
152
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
78
10
0
16 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction
Deep Variational Inference Without Pixel-Wise Reconstruction
Siddharth Agrawal
Ambedkar Dukkipati
DRL3DVBDL
80
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
BDLDRL
121
736
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
DRLSSLBDL
95
340
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
143
777
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
136
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
OffRLAI4CEGAN
93
355
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
116
880
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
DRLSSLGAN
217
676
0
08 Nov 2016
Previous
123...262728
Next