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Generating images with recurrent adversarial networks

Generating images with recurrent adversarial networks

16 February 2016
Daniel Jiwoong Im
C. Kim
Hui Jiang
Roland Memisevic
    GAN
ArXivPDFHTML

Papers citing "Generating images with recurrent adversarial networks"

44 / 44 papers shown
Title
A Realism Metric for Generated LiDAR Point Clouds
A Realism Metric for Generated LiDAR Point Clouds
Larissa T. Triess
Christoph B. Rist
David Peter
J. Marius Zöllner
3DPC
37
8
0
31 Aug 2022
Learning-Driven Lossy Image Compression; A Comprehensive Survey
Learning-Driven Lossy Image Compression; A Comprehensive Survey
Sonain Jamil
Md. Jalil Piran
Muhibur Rahman
29
36
0
23 Jan 2022
GM Score: Incorporating inter-class and intra-class generator diversity,
  discriminability of disentangled representation, and sample fidelity for
  evaluating GANs
GM Score: Incorporating inter-class and intra-class generator diversity, discriminability of disentangled representation, and sample fidelity for evaluating GANs
GM Harshvardhan
Aanchal Sahu
Mahendra Kumar Gourisaria
23
0
0
13 Dec 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial
  and Survey
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
GAN
34
12
0
26 Nov 2021
Compositional Transformers for Scene Generation
Compositional Transformers for Scene Generation
Drew A. Hudson
C. L. Zitnick
ViT
34
34
0
17 Nov 2021
Quantifying point cloud realism through adversarially learned latent
  representations
Quantifying point cloud realism through adversarially learned latent representations
Larissa T. Triess
David Peter
Stefan A. Baur
J. Marius Zöllner
3DPC
32
2
0
24 Sep 2021
GAN Computers Generate Arts? A Survey on Visual Arts, Music, and
  Literary Text Generation using Generative Adversarial Network
GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network
Sakib Shahriar
GAN
42
101
0
09 Aug 2021
Generative adversarial networks in time series: A survey and taxonomy
Generative adversarial networks in time series: A survey and taxonomy
Eoin Brophy
Zhengwei Wang
Qi She
Tomas E. Ward
EGVM
AI4TS
17
57
0
23 Jul 2021
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
28
818
0
20 Jan 2020
Orthogonal Wasserstein GANs
Orthogonal Wasserstein GANs
J. Müller
Reinhard Klein
Michael Weinmann
48
9
0
29 Nov 2019
Synthesis of Realistic ECG using Generative Adversarial Networks
Synthesis of Realistic ECG using Generative Adversarial Networks
Anne Marie Delaney
Eoin Brophy
T. Ward
32
79
0
19 Sep 2019
Generating Data using Monte Carlo Dropout
Generating Data using Monte Carlo Dropout
Kristian Miok
Dong Nguyen Doan
D. Zaharie
Marko Robnik-Šikonja
SyDa
19
13
0
12 Sep 2019
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained
  Object Generation and Discovery
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Krishna Kumar Singh
Utkarsh Ojha
Yong Jae Lee
OCL
27
131
0
27 Nov 2018
Skill Rating for Generative Models
Skill Rating for Generative Models
Catherine Olsson
Surya Bhupatiraju
Tom B. Brown
Augustus Odena
Ian Goodfellow
16
32
0
14 Aug 2018
Learning to Evaluate Image Captioning
Learning to Evaluate Image Captioning
Huayu Chen
Guandao Yang
Andreas Veit
Xun Huang
Serge J. Belongie
35
147
0
17 Jun 2018
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
Raeid Saqur
Sal Vivona
GAN
22
24
0
07 Jun 2018
Capturing Variabilities from Computed Tomography Images with Generative
  Adversarial Networks
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks
U. Javaid
J. Lee
GAN
MedIm
33
5
0
29 May 2018
Generative Adversarial Forests for Better Conditioned Adversarial
  Learning
Generative Adversarial Forests for Better Conditioned Adversarial Learning
Yan Zuo
Gil Avraham
Tom Drummond
GAN
AI4CE
22
8
0
14 May 2018
Attention-GAN for Object Transfiguration in Wild Images
Attention-GAN for Object Transfiguration in Wild Images
Xinyuan Chen
Chang Xu
Xiaokang Yang
Dacheng Tao
32
176
0
19 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
29
873
0
03 Mar 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Jiwoong Im
He Ma
Graham W. Taylor
K. Branson
EGVM
19
69
0
02 Mar 2018
CapsuleGAN: Generative Adversarial Capsule Network
CapsuleGAN: Generative Adversarial Capsule Network
Ayush Jaiswal
Wael AbdAlmageed
Yue Wu
Premkumar Natarajan
GAN
MedIm
24
159
0
17 Feb 2018
DeepSIC: Deep Semantic Image Compression
DeepSIC: Deep Semantic Image Compression
Sihui Luo
Yezhou Yang
Xiuming Zhang
30
46
0
29 Jan 2018
Comparative Study on Generative Adversarial Networks
Comparative Study on Generative Adversarial Networks
Saifuddin Hitawala
GAN
43
56
0
12 Jan 2018
Boosting Deep Learning Risk Prediction with Generative Adversarial
  Networks for Electronic Health Records
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
Zhengping Che
Yu Cheng
Shuangfei Zhai
Zhaonan Sun
Yan Liu
OOD
19
159
0
06 Sep 2017
Statistics of Deep Generated Images
Statistics of Deep Generated Images
Yu Zeng
Huchuan Lu
Ali Borji
GAN
21
14
0
09 Aug 2017
A survey of exemplar-based texture synthesis
A survey of exemplar-based texture synthesis
Lara Raad
Axel Davy
A. Desolneux
Jean-Michel Morel
3DV
36
34
0
22 Jul 2017
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yu Liu
Xiaodong Yang
Jan Kautz
GAN
90
1,131
0
17 Jul 2017
Neural Machine Translation with Gumbel-Greedy Decoding
Neural Machine Translation with Gumbel-Greedy Decoding
Jiatao Gu
Daniel Jiwoong Im
V. Li
22
35
0
22 Jun 2017
Gradient descent GAN optimization is locally stable
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan
J. Zico Kolter
GAN
46
348
0
13 Jun 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
27
349
0
23 Jan 2017
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
25
1,797
0
22 Dec 2016
Generative Adversarial Parallelization
Generative Adversarial Parallelization
Daniel Jiwoong Im
He Ma
C. Kim
Graham W. Taylor
GAN
30
38
0
13 Dec 2016
Ensembles of Generative Adversarial Networks
Ensembles of Generative Adversarial Networks
Yaxing Wang
Lichao Zhang
Joost van de Weijer
GAN
22
52
0
03 Dec 2016
Associative Adversarial Networks
Associative Adversarial Networks
Tarik Arici
Asli Celikyilmaz
GAN
34
17
0
18 Nov 2016
One-to-Many Network for Visually Pleasing Compression Artifacts
  Reduction
One-to-Many Network for Visually Pleasing Compression Artifacts Reduction
Jun Guo
Hongyang Chao
37
89
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
22
223
0
14 Nov 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
J. Zhao
Michaël Mathieu
Yann LeCun
GAN
58
1,108
0
11 Sep 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
122
8,927
0
10 Jun 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
94
3,647
0
26 May 2016
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt
3DH
HAI
16
1,532
0
23 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
31
617
0
17 Mar 2016
Learning Typographic Style
Learning Typographic Style
S. Baluja
30
15
0
13 Mar 2016
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLM
SSeg
19
251
0
22 Nov 2015
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