ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1611.04076
  4. Cited By
Least Squares Generative Adversarial Networks
v1v2v3 (latest)

Least Squares Generative Adversarial Networks

13 November 2016
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
    GAN
ArXiv (abs)PDFHTML

Papers citing "Least Squares Generative Adversarial Networks"

50 / 1,832 papers shown
All about Structure: Adapting Structural Information across Domains for
  Boosting Semantic Segmentation
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation
Wei-Lun Chang
Hui-Po Wang
Wen-Hsiao Peng
Wei-Chen Chiu
225
264
0
26 Mar 2019
General Probabilistic Surface Optimization and Log Density Estimation
General Probabilistic Surface Optimization and Log Density Estimation
Dmitry Kopitkov
Vadim Indelman
399
1
0
25 Mar 2019
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial
  Networks
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks
A. Duarte
Francisco Roldan
Miquel Tubau
Janna Escur
Santiago Pascual
Amaia Salvador
Eva Mohedano
Kevin McGuinness
Jordi Torres
Xavier Giró-i-Nieto
GANCVBM
106
84
0
25 Mar 2019
PI-REC: Progressive Image Reconstruction Network With Edge and Color
  Domain
PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain
Sheng You
Ning You
Minxue Pan
GAN
133
22
0
25 Mar 2019
Unconstrained Facial Action Unit Detection via Latent Feature Domain
Unconstrained Facial Action Unit Detection via Latent Feature Domain
Zhiwen Shao
Jianfei Cai
Tat-Jen Cham
Xuequan Lu
Lizhuang Ma
151
11
0
25 Mar 2019
SRGAN: Training Dataset Matters
SRGAN: Training Dataset Matters
Nao Takano
G. Alaghband
GAN
89
18
0
24 Mar 2019
Fast Underwater Image Enhancement for Improved Visual Perception
Fast Underwater Image Enhancement for Improved Visual Perception
M. Islam
Youya Xia
Junaed Sattar
GAN
398
1,225
0
23 Mar 2019
Generative Adversarial Minority Oversampling
Generative Adversarial Minority Oversampling
S. S. Mullick
Shounak Datta
Swagatam Das
290
204
0
22 Mar 2019
Learning Disentangled Representations of Satellite Image Time Series
Learning Disentangled Representations of Satellite Image Time Series
E. Sanchez
M. Serrurier
M. Ortner
DRLSSL
85
14
0
21 Mar 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive NormalizationComputer Vision and Pattern Recognition (CVPR), 2019
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
636
2,994
0
18 Mar 2019
Generative Adversarial Networks: recent developments
Generative Adversarial Networks: recent developments
M. Zamorski
Adrian Zdobylak
Maciej Ziȩba
J. Swiatek
GAN
147
16
0
16 Mar 2019
Quality-aware Unpaired Image-to-Image Translation
Quality-aware Unpaired Image-to-Image Translation
Lei Chen
Le Wu
Zhenzhen Hu
Ming Wang
GAN
115
50
0
15 Mar 2019
Generative adversarial network-based glottal waveform model for
  statistical parametric speech synthesis
Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis
Bajibabu Bollepalli
Lauri Juvela
P. Alku
99
49
0
14 Mar 2019
Diagnosing and Enhancing VAE Models
Diagnosing and Enhancing VAE Models
Bin Dai
David Wipf
DRL
313
415
0
14 Mar 2019
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Qi Mao
Hsin-Ying Lee
Hung-Yu Tseng
Siwei Ma
Ming-Hsuan Yang
GAN
222
429
0
13 Mar 2019
Pluralistic Image Completion
Pluralistic Image Completion
Chuanxia Zheng
Tat-Jen Cham
Jianfei Cai
230
482
0
11 Mar 2019
Age Progression and Regression with Spatial Attention Modules
Age Progression and Regression with Spatial Attention ModulesAAAI Conference on Artificial Intelligence (AAAI), 2019
Qi Li
Yunfan Liu
Zhenan Sun
GAN
201
43
0
06 Mar 2019
Generative Adversarial Nets for Robust Scatter Estimation: A Proper
  Scoring Rule Perspective
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule PerspectiveJournal of machine learning research (JMLR), 2019
Chao Gao
Yuan Yao
Weizhi Zhu
177
24
0
05 Mar 2019
Adversarial Generation of Handwritten Text Images Conditioned on
  Sequences
Adversarial Generation of Handwritten Text Images Conditioned on SequencesIEEE International Conference on Document Analysis and Recognition (ICDAR), 2019
Eloi Alonso
Bastien Moysset
Ronaldo O. Messina
GAN
137
96
0
01 Mar 2019
LaSO: Label-Set Operations networks for multi-label few-shot learning
LaSO: Label-Set Operations networks for multi-label few-shot learningComputer Vision and Pattern Recognition (CVPR), 2019
Amit Alfassy
Leonid Karlinsky
Amit Aides
J. Shtok
Sivan Harary
Rogerio Feris
Raja Giryes
A. Bronstein
213
126
0
26 Feb 2019
Harmonic Unpaired Image-to-image Translation
Harmonic Unpaired Image-to-image TranslationInternational Conference on Learning Representations (ICLR), 2019
Rui Zhang
Tomas Pfister
Jia Li
GAN
159
50
0
26 Feb 2019
Wasserstein GAN Can Perform PCA
Wasserstein GAN Can Perform PCA
Jaewoong Cho
Changho Suh
GAN
112
5
0
25 Feb 2019
CMR motion artifact correction using generative adversarial nets
CMR motion artifact correction using generative adversarial nets
Yunxuan Zhang
Weiliang Zhang
Qinyan Zhang
Jijiang Yang
Xiuyu Chen
Shihua Zhao
MedIm
63
4
0
21 Feb 2019
Adversarial Augmentation for Enhancing Classification of Mammography
  Images
Adversarial Augmentation for Enhancing Classification of Mammography Images
Lukás Jendele
Ondrej Skopek
Anton S. Becker
E. Konukoglu
MedImGAN
229
6
0
20 Feb 2019
Label-Removed Generative Adversarial Networks Incorporating with K-Means
Label-Removed Generative Adversarial Networks Incorporating with K-Means
Ce Wang
Zhangling Chen
Kun Shang
GAN
142
26
0
19 Feb 2019
Deep Learning for Image Super-resolution: A Survey
Deep Learning for Image Super-resolution: A Survey
Zhihao Wang
Jian Chen
Guosheng Lin
SupR
350
1,684
0
16 Feb 2019
Lipschitz Generative Adversarial Nets
Lipschitz Generative Adversarial Nets
Zhiming Zhou
Jiadong Liang
Yuxuan Song
Lantao Yu
Hongwei Wang
Weinan Zhang
Yong Yu
Zhihua Zhang
GAN
311
84
0
15 Feb 2019
Artist Style Transfer Via Quadratic Potential
Artist Style Transfer Via Quadratic Potential
Rahul Bhalley
Jianlin Su
GAN
120
3
0
14 Feb 2019
Gated2Depth: Real-time Dense Lidar from Gated Images
Gated2Depth: Real-time Dense Lidar from Gated ImagesIEEE International Conference on Computer Vision (ICCV), 2019
Tobias Gruber
Frank D. Julca-Aguilar
Mario Bijelic
W. Ritter
Klaus C. J. Dietmayer
Felix Heide
MDE
334
67
0
13 Feb 2019
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Rethinking Generative Mode Coverage: A Pointwise Guaranteed ApproachNeural Information Processing Systems (NeurIPS), 2019
Peilin Zhong
Yuchen Mo
Chang Xiao
Pengyu Chen
Changxi Zheng
427
5
0
13 Feb 2019
GAN- vs. JPEG2000 Image Compression for Distributed Automotive
  Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
Jonas Löhdefink
Andreas Bär
Nico M. Schmidt
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
191
16
0
12 Feb 2019
Nonparametric Density Estimation & Convergence Rates for GANs under
  Besov IPM Losses
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal
Shashank Singh
Barnabás Póczós
241
57
0
09 Feb 2019
Generating the support with extreme value losses
Generating the support with extreme value losses
N. Guttenberg
94
0
0
08 Feb 2019
Mol-CycleGAN - a generative model for molecular optimization
Mol-CycleGAN - a generative model for molecular optimization
Łukasz Maziarka
Agnieszka Pocha
Jan Kaczmarczyk
Krzysztof Rataj
M. Warchoł
215
280
0
06 Feb 2019
Collaborative Sampling in Generative Adversarial Networks
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu
Parth Kothari
Alexandre Alahi
TTA
314
17
0
02 Feb 2019
Normalized Wasserstein Distance for Mixture Distributions with
  Applications in Adversarial Learning and Domain Adaptation
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2019
Yogesh Balaji
Rama Chellappa
Soheil Feizi
237
52
0
01 Feb 2019
Three-dimensional virtual refocusing of fluorescence microscopy images
  using deep learning
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learningNature Methods (Nat. Methods), 2019
Yichen Wu
Y. Rivenson
Hongda Wang
Yilin Luo
Eyal Ben-David
L. Bentolila
C. Pritz
Aydogan Ozcan
MedIm
194
199
0
31 Jan 2019
Diversity Regularized Adversarial Learning
Diversity Regularized Adversarial Learning
B. Ayinde
Keishin Nishihama
J. Zurada
GAN
88
1
0
30 Jan 2019
Progressive Augmentation of GANs
Progressive Augmentation of GANsNeural Information Processing Systems (NeurIPS), 2019
Dan Zhang
Anna Khoreva
206
30
0
29 Jan 2019
Cross-Domain Image Manipulation by Demonstration
Cross-Domain Image Manipulation by Demonstration
Ben Usman
Nick Dufour
Kate Saenko
C. Bregler
3DHCVBM
100
1
0
28 Jan 2019
Lie Group Auto-Encoder
Lie Group Auto-Encoder
Liyu Gong
Qiang Cheng
DRLAI4CE
106
3
0
28 Jan 2019
CollaGAN : Collaborative GAN for Missing Image Data Imputation
CollaGAN : Collaborative GAN for Missing Image Data Imputation
Dongwook Lee
Junyoung Kim
Won-Jin Moon
J. C. Ye
VLMGAN
232
168
0
28 Jan 2019
Bridging the Gap Between Computational Photography and Visual
  Recognition
Bridging the Gap Between Computational Photography and Visual Recognition
Rosaura G. VidalMata
Sreya Banerjee
Brandon RichardWebster
Michael Albright
Pedro Davalos
...
Wen-Chi Chin
Yi-Chun Li
M. Lababidi
C. Otto
Walter J. Scheirer
320
58
0
28 Jan 2019
On Output Activation Functions for Adversarial Losses: A Theoretical
  Analysis via Variational Divergence Minimization and An Empirical Study on
  MNIST Classification
On Output Activation Functions for Adversarial Losses: A Theoretical Analysis via Variational Divergence Minimization and An Empirical Study on MNIST Classification
Hao-Wen Dong
Yi-Hsuan Yang
AAML
205
0
0
25 Jan 2019
Multi-objective training of Generative Adversarial Networks with
  multiple discriminators
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque
João Monteiro
T. Doan
Breandan Considine
T. Falk
Alexia Jolicoeur-Martineau
219
69
0
24 Jan 2019
Deep Generative Learning via Variational Gradient Flow
Deep Generative Learning via Variational Gradient Flow
Yuan Gao
Yuling Jiao
Yang Wang
Yao Wang
Can Yang
Shunkang Zhang
314
40
0
24 Jan 2019
QGAN: Quantized Generative Adversarial Networks
QGAN: Quantized Generative Adversarial Networks
Peiqi Wang
Dongsheng Wang
Yu Ji
Xinfeng Xie
Haoxuan Song
XuXin Liu
Yongqiang Lyu
Yuan Xie
GANMQ
130
42
0
24 Jan 2019
Semi-Supervised Image-to-Image Translation
Semi-Supervised Image-to-Image Translation
Manan Oza
H. Vaghela
Sudhir Bagul
GAN
41
15
0
24 Jan 2019
RPC: A Large-Scale Retail Product Checkout Dataset
RPC: A Large-Scale Retail Product Checkout Dataset
Xiu-Shen Wei
Quan Cui
Lei Yang
Peng Wang
Lingqiao Liu
554
135
0
22 Jan 2019
Truly Generalizable Radiograph Segmentation with Conditional Domain
  Adaptation
Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation
Hugo Oliveira
E. Ferreira
J. A. dos Santos
MedIm
254
15
0
16 Jan 2019
Previous
123...303132...353637
Next
Page 31 of 37
Pageof 37