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Deep Generative Image Models using a Laplacian Pyramid of Adversarial
  Networks

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks

18 June 2015
Emily L. Denton
Soumith Chintala
Arthur Szlam
Rob Fergus
    GAN
ArXivPDFHTML

Papers citing "Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks"

44 / 344 papers shown
Title
Example-Based Image Synthesis via Randomized Patch-Matching
Example-Based Image Synthesis via Randomized Patch-Matching
Yi Ren
Yaniv Romano
Michael Elad
3DV
28
9
0
23 Sep 2016
PixelNet: Towards a General Pixel-level Architecture
PixelNet: Towards a General Pixel-level Architecture
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
210
58
0
21 Sep 2016
Enabling Dark Energy Science with Deep Generative Models of Galaxy
  Images
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images
Siamak Ravanbakhsh
F. Lanusse
Rachel Mandelbaum
J. Schneider
Barnabás Póczós
30
65
0
19 Sep 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu
Weinan Zhang
Jun Wang
Yong Yu
GAN
20
2,385
0
18 Sep 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jun Zhao
Michaël Mathieu
Yann LeCun
GAN
61
1,108
0
11 Sep 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
89
1,460
0
08 Sep 2016
Making a Case for Learning Motion Representations with Phase
Making a Case for Learning Motion Representations with Phase
S. Pintea
Jan van Gemert
26
11
0
06 Sep 2016
Learning Temporal Transformations From Time-Lapse Videos
Learning Temporal Transformations From Time-Lapse Videos
Yipin Zhou
Tamara L. Berg
30
148
0
27 Aug 2016
Towards cross-lingual distributed representations without parallel text
  trained with adversarial autoencoders
Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Antonio Valerio Miceli Barone
16
120
0
09 Aug 2016
Learning a Driving Simulator
Learning a Driving Simulator
Eder Santana
George Hotz
GAN
28
226
0
03 Aug 2016
Semantic Image Inpainting with Deep Generative Models
Semantic Image Inpainting with Deep Generative Models
Raymond A. Yeh
Chen Chen
Teck-Yian Lim
A. Schwing
M. Hasegawa-Johnson
Minh Do
GAN
VLM
33
1,169
0
26 Jul 2016
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
Yaroslav Ganin
Daniil Kononenko
Diana Sungatullina
Victor Lempitsky
CVBM
27
122
0
25 Jul 2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross
  Convolutional Networks
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue
Jiajun Wu
Katherine Bouman
Bill Freeman
43
416
0
09 Jul 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming Liu
Oncel Tuzel
OOD
GAN
22
1,622
0
24 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
140
8,927
0
10 Jun 2016
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
Jianwen Xie
Song-Chun Zhu
Ying Nian Wu
GAN
37
10
0
03 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
20
1,310
0
02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
55
141
0
31 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
97
3,647
0
26 May 2016
Spatio-Temporal Image Boundary Extrapolation
Spatio-Temporal Image Boundary Extrapolation
Apratim Bhattacharyya
Mateusz Malinowski
Mario Fritz
13
2
0
24 May 2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating
  Dialogues
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Serban
Alessandro Sordoni
Ryan J. Lowe
Laurent Charlin
Joelle Pineau
Aaron Courville
Yoshua Bengio
BDL
51
1,104
0
19 May 2016
Laplacian Pyramid Reconstruction and Refinement for Semantic
  Segmentation
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
Golnaz Ghiasi
Charless C. Fowlkes
SSeg
26
49
0
08 May 2016
Neural Autoregressive Distribution Estimation
Neural Autoregressive Distribution Estimation
Benigno Uria
Marc-Alexandre Côté
Karol Gregor
Iain Murray
Hugo Larochelle
42
313
0
07 May 2016
Pixel-Level Domain Transfer
Pixel-Level Domain Transfer
Donggeun Yoo
Namil Kim
Sunggyun Park
Anthony S. Paek
In So Kweon
GAN
14
315
0
24 Mar 2016
Global-Local Face Upsampling Network
Global-Local Face Upsampling Network
Oncel Tuzel
Yuichi Taguchi
J. Hershey
CVBM
SupR
18
35
0
23 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xueliang Wang
Abhinav Gupta
GAN
31
617
0
17 Mar 2016
Learning Typographic Style
Learning Typographic Style
S. Baluja
30
15
0
13 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
14
942
0
10 Mar 2016
Super Mario as a String: Platformer Level Generation Via LSTMs
Super Mario as a String: Platformer Level Generation Via LSTMs
A. Summerville
Michael Mateas
33
149
0
02 Mar 2016
Learning to Generate with Memory
Learning to Generate with Memory
Chongxuan Li
Jun Zhu
Bo Zhang
BDL
21
42
0
24 Feb 2016
Improved graph-based SFA: Information preservation complements the
  slowness principle
Improved graph-based SFA: Information preservation complements the slowness principle
Alberto N. Escalante
Laurenz Wiskott
16
16
0
15 Jan 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
70
2,052
0
31 Dec 2015
Towards Principled Unsupervised Learning
Towards Principled Unsupervised Learning
Ilya Sutskever
Rafal Jozefowicz
Karol Gregor
Danilo Jimenez Rezende
Timothy Lillicrap
Oriol Vinyals
OOD
SSL
24
49
0
19 Nov 2015
Deep Manifold Traversal: Changing Labels with Convolutional Features
Deep Manifold Traversal: Changing Labels with Convolutional Features
Jacob R. Gardner
P. Upchurch
Matt J. Kusner
Yixuan Li
Kilian Q. Weinberger
Kavita Bala
J. Hopcroft
34
65
0
19 Nov 2015
Learning to Generate Images with Perceptual Similarity Metrics
Learning to Generate Images with Perceptual Similarity Metrics
Jake C. Snell
Karl Ridgeway
Renjie Liao
Brett D. Roads
Michael C. Mozer
R. Zemel
EGVM
24
176
0
19 Nov 2015
Unsupervised Learning of Visual Structure using Predictive Generative
  Networks
Unsupervised Learning of Visual Structure using Predictive Generative Networks
William Lotter
Gabriel Kreiman
David D. Cox
GAN
SSL
DRL
16
132
0
19 Nov 2015
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
34
2,341
0
19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks
Variable Rate Image Compression with Recurrent Neural Networks
G. Toderici
Sean M. O'Malley
S. Hwang
Damien Vincent
David C. Minnen
S. Baluja
Michele Covell
Rahul Sukthankar
24
667
0
19 Nov 2015
Super-Resolution with Deep Convolutional Sufficient Statistics
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna
Pablo Sprechmann
Yann LeCun
SupR
25
323
0
18 Nov 2015
Deep multi-scale video prediction beyond mean square error
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
48
1,876
0
17 Nov 2015
How (not) to Train your Generative Model: Scheduled Sampling,
  Likelihood, Adversary?
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
Ferenc Huszár
OOD
DiffM
GAN
28
296
0
16 Nov 2015
Generating Images from Captions with Attention
Generating Images from Captions with Attention
Elman Mansimov
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
VLM
43
449
0
09 Nov 2015
Learning FRAME Models Using CNN Filters
Learning FRAME Models Using CNN Filters
Yang Lu
Song-Chun Zhu
Ying Nian Wu
GAN
28
66
0
28 Sep 2015
Data Generation as Sequential Decision Making
Data Generation as Sequential Decision Making
Philip Bachman
Doina Precup
22
57
0
10 Jun 2015
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