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Variational Approaches for Auto-Encoding Generative Adversarial Networks

Variational Approaches for Auto-Encoding Generative Adversarial Networks

15 June 2017
Mihaela Rosca
Balaji Lakshminarayanan
David Warde-Farley
S. Mohamed
    DRL
    GAN
ArXivPDFHTML

Papers citing "Variational Approaches for Auto-Encoding Generative Adversarial Networks"

44 / 44 papers shown
Title
Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement
Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement
Haofan Wu
Yin Huang
Yuqing Wu
Qiuyu Yang
Bingfang Wang
...
Abdul Fattah Memon
Daizong Ji
Y. Zhang
Ghulam Mustafa
Yin Fang
MedIm
25
0
0
03 May 2025
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
Sandipan Dhar
N. D. Jana
Swagatam Das
43
0
0
27 Apr 2025
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations
Ruijie Wang
Luca Rossetto
Susan Mérillat
Christina Röcke
Mike Martin
Abraham Bernstein
DiffM
MedIm
54
0
0
15 Apr 2025
Limb-Aware Virtual Try-On Network with Progressive Clothing Warping
Limb-Aware Virtual Try-On Network with Progressive Clothing Warping
Shengping Zhang
Xiaoyu Han
Weigang Zhang
Xiangyuan Lan
Hongxun Yao
Qingming Huang
3DH
92
6
0
18 Mar 2025
Progressive Limb-Aware Virtual Try-On
Progressive Limb-Aware Virtual Try-On
Xiaoyu Han
Shengping Zhang
Qinglin Liu
Zonglin Li
Chenyang Wang
3DH
100
4
0
16 Mar 2025
Matching aggregate posteriors in the variational autoencoder
Matching aggregate posteriors in the variational autoencoder
Surojit Saha
Sarang Joshi
Ross T. Whitaker
DRL
18
4
0
13 Nov 2023
Learning Sequential Information in Task-based fMRI for Synthetic Data
  Augmentation
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation
Jiyao Wang
Nicha Dvornek
Lawrence H. Staib
James S. Duncan
MedIm
26
2
0
29 Aug 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative
  Models in Engineering Design
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
Lyle Regenwetter
Akash Srivastava
Dan Gutfreund
Faez Ahmed
11
28
0
06 Feb 2023
Style-Based Global Appearance Flow for Virtual Try-On
Style-Based Global Appearance Flow for Virtual Try-On
Sen He
Yi-Zhe Song
Tao Xiang
3DH
28
119
0
03 Apr 2022
Data Augmentation For Medical MR Image Using Generative Adversarial
  Networks
Data Augmentation For Medical MR Image Using Generative Adversarial Networks
Panjian Huang
Xu Liu
Yongzhen Huang
OOD
MedIm
17
10
0
29 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai
Shengbang Tong
Mingyang Li
Ziyang Wu
Michael Psenka
...
Pengyuan Zhai
Yaodong Yu
Xiaojun Yuan
Harry Shum
Yi-An Ma
20
30
0
12 Nov 2021
CAGAN: Text-To-Image Generation with Combined Attention GANs
CAGAN: Text-To-Image Generation with Combined Attention GANs
Henning Schulze
Dogucan Yaman
Alexander Waibel
GAN
21
3
0
26 Apr 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
  Adversarial Networks
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
25
21
0
24 Feb 2021
Regularization Methods for Generative Adversarial Networks: An Overview
  of Recent Studies
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies
Minhyeok Lee
Junhee Seok
GAN
19
25
0
19 May 2020
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Yuanhan Mo
Shuo Wang
Chengliang Dai
Rui Zhou
Z. Teng
Wenjia Bai
Yike Guo
22
0
0
19 Mar 2020
Unpaired Image-to-Image Translation using Adversarial Consistency Loss
Unpaired Image-to-Image Translation using Adversarial Consistency Loss
Yihao Zhao
Ruihai Wu
Hao Dong
46
117
0
10 Mar 2020
Domain Embedded Multi-model Generative Adversarial Networks for
  Image-based Face Inpainting
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting
Xian Zhang
Xin Wang
Bin Kong
Canghong Shi
Youbing Yin
Qi Song
Siwei Lyu
Jiancheng Lv
Canghong Shi
Xiaojie Li
GAN
CVBM
14
7
0
05 Feb 2020
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
26
817
0
20 Jan 2020
Towards GAN Benchmarks Which Require Generalization
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
13
57
0
10 Jan 2020
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
19
61
0
09 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
19
83
0
30 Sep 2019
Conditional Flow Variational Autoencoders for Structured Sequence
  Prediction
Conditional Flow Variational Autoencoders for Structured Sequence Prediction
Apratim Bhattacharyya
M. Hanselmann
Mario Fritz
Bernt Schiele
C. Straehle
BDL
DRL
AI4TS
13
83
0
24 Aug 2019
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial
  Networks
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
Gihyun Kwon
Chihye Han
Dae-Shik Kim
GAN
MedIm
15
127
0
07 Aug 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
37
542
0
04 Jul 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
26
123
0
23 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning
DualDis: Dual-Branch Disentangling with Adversarial Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
CoGe
DRL
20
4
0
03 Jun 2019
Towards Photographic Image Manipulation with Balanced Growing of
  Generative Autoencoders
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders
Ari Heljakka
Arno Solin
Juho Kannala
DRL
CVBM
24
15
0
12 Apr 2019
Detecting Overfitting via Adversarial Examples
Detecting Overfitting via Adversarial Examples
Roman Werpachowski
András Gyorgy
Csaba Szepesvári
TDI
15
45
0
06 Mar 2019
Adversarial Semantic Scene Completion from a Single Depth Image
Adversarial Semantic Scene Completion from a Single Depth Image
Yida Wang
D. Tan
Nassir Navab
Federico Tombari
3DPC
9
32
0
25 Oct 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample
  Likelihoods in GANs
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji
Hamed Hassani
Rama Chellappa
S. Feizi
GAN
DRL
38
20
0
09 Oct 2018
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
UQCV
19
46
0
01 Oct 2018
Pioneer Networks: Progressively Growing Generative Autoencoder
Pioneer Networks: Progressively Growing Generative Autoencoder
Ari Heljakka
Arno Solin
Juho Kannala
GAN
DRL
21
41
0
09 Jul 2018
New Losses for Generative Adversarial Learning
Victor Berger
Michèle Sebag
GAN
12
0
0
03 Jul 2018
Autoregressive Quantile Networks for Generative Modeling
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski
Will Dabney
Rémi Munos
DRL
12
85
0
14 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical
  Imaging
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Xiaoran Chen
Nick Pawlowski
Martin Rajchl
Ben Glocker
E. Konukoglu
OOD
MedIm
13
49
0
14 Jun 2018
Deep Generative Models for Distribution-Preserving Lossy Compression
Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen
E. Agustsson
Mario Lucic
14
130
0
28 May 2018
A Variational U-Net for Conditional Appearance and Shape Generation
A Variational U-Net for Conditional Appearance and Shape Generation
Patrick Esser
E. Sutter
Bjorn Ommer
28
417
0
12 Apr 2018
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain
  MR Images
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images
Christoph Baur
Benedikt Wiestler
Shadi Albarqouni
Nassir Navab
UQCV
MedIm
13
440
0
12 Apr 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training
MGGAN: Solving Mode Collapse using Manifold Guided Training
Duhyeon Bang
Hyunjung Shim
GAN
22
77
0
12 Apr 2018
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
27
596
0
31 Oct 2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet
  Core55
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
L. Yi
Lin Shao
Manolis Savva
Haibin Huang
Yang Zhou
...
Silvio Savarese
Pat Hanrahan
Thomas Funkhouser
Hao Su
Leonidas J. Guibas
3DV
20
66
0
17 Oct 2017
Robust Imitation of Diverse Behaviors
Robust Imitation of Diverse Behaviors
Ziyun Wang
J. Merel
Scott E. Reed
Greg Wayne
Nando de Freitas
N. Heess
23
194
0
10 Jul 2017
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric P. Xing
DRL
GAN
32
126
0
02 Jun 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,190
0
30 Oct 2016
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