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Autoencoding beyond pixels using a learned similarity metric
v1v2 (latest)

Autoencoding beyond pixels using a learned similarity metric

31 December 2015
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
    GAN
ArXiv (abs)PDFHTML

Papers citing "Autoencoding beyond pixels using a learned similarity metric"

30 / 930 papers shown
Title
Infinite Variational Autoencoder for Semi-Supervised Learning
Infinite Variational Autoencoder for Semi-Supervised Learning
Ehsan Abbasnejad
A. Dick
Anton Van Den Hengel
BDLDRL
151
85
0
23 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
802
21,213
0
21 Nov 2016
Invertible Conditional GANs for image editing
Invertible Conditional GANs for image editing
Guim Perarnau
Joost van de Weijer
Bogdan Raducanu
J. Álvarez
GAN
151
664
0
19 Nov 2016
Deep Feature Interpolation for Image Content Changes
Deep Feature Interpolation for Image Content Changes
P. Upchurch
Jacob V. Gardner
Geoff Pleiss
Robert Pless
Noah Snavely
Kavita Bala
Kilian Q. Weinberger
213
324
0
16 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction
Deep Variational Inference Without Pixel-Wise Reconstruction
Siddharth Agrawal
Ambedkar Dukkipati
DRL3DVBDL
106
13
0
16 Nov 2016
Disentangling factors of variation in deep representations using
  adversarial training
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu
Jiaqi Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
DRLCML
285
511
0
10 Nov 2016
Joint Multimodal Learning with Deep Generative Models
Joint Multimodal Learning with Deep Generative Models
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
DRLGAN
194
238
0
07 Nov 2016
Ways of Conditioning Generative Adversarial Networks
Ways of Conditioning Generative Adversarial Networks
Hanock Kwak
Byoung-Tak Zhang
GAN
91
17
0
04 Nov 2016
Improving Sampling from Generative Autoencoders with Markov Chains
Improving Sampling from Generative Autoencoders with Markov Chains
Antonia Creswell
Kai Arulkumaran
Anil Anthony Bharath
BDLSyDaGAN
200
11
0
28 Oct 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
654
2,069
0
24 Oct 2016
Deep Identity-aware Transfer of Facial Attributes
Deep Identity-aware Transfer of Facial Attributes
Mu Li
W. Zuo
David C. Zhang
CVBM
223
151
0
18 Oct 2016
Amortised MAP Inference for Image Super-resolution
Amortised MAP Inference for Image Super-resolutionInternational Conference on Learning Representations (ICLR), 2016
C. Sønderby
Jose Caballero
Lucas Theis
Wenzhe Shi
Ferenc Huszár
271
443
0
14 Oct 2016
Connecting Generative Adversarial Networks and Actor-Critic Methods
Connecting Generative Adversarial Networks and Actor-Critic Methods
David Pfau
Oriol Vinyals
OffRLAI4CE
271
189
0
06 Oct 2016
Deep Feature Consistent Variational Autoencoder
Deep Feature Consistent Variational Autoencoder
Xianxu Hou
Linlin Shen
Ke Sun
Guoping Qiu
DRL
87
0
0
02 Oct 2016
Task Specific Adversarial Cost Function
Task Specific Adversarial Cost Function
Antonia Creswell
Anil A. Bharath
AAMLGAN
127
13
0
27 Sep 2016
Example-Based Image Synthesis via Randomized Patch-Matching
Example-Based Image Synthesis via Randomized Patch-Matching
Yi Ren
Yaniv Romano
Michael Elad
3DV
94
9
0
23 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
339
470
0
22 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
172
65
0
19 Sep 2016
Sampling Generative Networks
Sampling Generative Networks
Tom White
GAN
197
65
0
14 Sep 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
434
1,132
0
11 Sep 2016
Learning a Driving Simulator
Learning a Driving Simulator
Eder Santana
George Hotz
GAN
204
231
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
Alex Schwing
M. Hasegawa-Johnson
Minh Do
GANVLM
347
1,212
0
26 Jul 2016
Generating Images Part by Part with Composite Generative Adversarial
  Networks
Generating Images Part by Part with Composite Generative Adversarial Networks
Hanock Kwak
Byoung-Tak Zhang
GAN
200
40
0
19 Jul 2016
Adversarially Learned Inference
Adversarially Learned InferenceInternational Conference on Learning Representations (ICLR), 2016
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
672
1,330
0
02 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Srikrishna Karanam
Mengran Gou
Ziyan Wu
Angels Rates-Borras
Mario Sznaier
Richard J. Radke
456
1,053
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
595
4,059
0
26 May 2016
Precomputed Real-Time Texture Synthesis with Markovian Generative
  Adversarial Networks
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li
Michael Wand
GAN
246
1,496
0
15 Apr 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
217
632
0
17 Mar 2016
Discriminative Regularization for Generative Models
Discriminative Regularization for Generative Models
Alex Lamb
Vincent Dumoulin
Aaron Courville
DRL
338
67
0
09 Feb 2016
Generating Images with Perceptual Similarity Metrics based on Deep
  Networks
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy
Thomas Brox
DRLGAN
352
1,171
0
08 Feb 2016
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