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A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

20 January 2020
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
    EGVM
ArXivPDFHTML

Papers citing "A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications"

50 / 54 papers shown
Title
AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection
AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection
Muhammad Salman
Iqra Tariq
Mishal Zulfiqar
Muqadas Jalal
Sami Aujla
Sumbal Fatima
36
0
0
01 May 2025
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning
Edwin Tay
Nazli Tümer
Amir A. Zadpoor
MedIm
49
0
0
27 Mar 2025
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
Guangjin Pan
Yuan Gao
Yilin Gao
Zhiyong Zhong
Xiaoyu Yang
Xinyu Guo
Shugong Xu
39
1
0
28 Jan 2025
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter
  Efficient Finetuning
Trans-LoRA\textit{Trans-LoRA}Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
Runqian Wang
Soumya Ghosh
David D. Cox
Diego Antognini
Aude Oliva
Rogerio Feris
Leonid Karlinsky
30
1
0
27 May 2024
Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction
Xiaoyu Qiao
Weisheng Li
Bin Xiao
Yuping Huang
Lijian Yang
DiffM
32
3
0
05 May 2024
Development of Skip Connection in Deep Neural Networks for Computer
  Vision and Medical Image Analysis: A Survey
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey
Guoping Xu
Xiaxia Wang
Xinglong Wu
Xuesong Leng
Yongchao Xu
3DPC
32
8
0
02 May 2024
Exploiting the capacity of deep networks only at training stage for
  nonlinear black-box system identification
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification
V. M. Eivaghi
M. A. Shoorehdeli
23
0
0
26 Dec 2023
Shrink-Perturb Improves Architecture Mixing during Population Based
  Training for Neural Architecture Search
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search
A. Chebykin
A. Dushatskiy
T. Alderliesten
Peter A. N. Bosman
29
0
0
28 Jul 2023
PC-Droid: Faster diffusion and improved quality for particle cloud
  generation
PC-Droid: Faster diffusion and improved quality for particle cloud generation
Matthew Leigh
Debasish Sengupta
J. A. Raine
Guillaume Quétant
T. Golling
DiffM
31
14
0
13 Jul 2023
Multilingual Multiword Expression Identification Using Lateral
  Inhibition and Domain Adaptation
Multilingual Multiword Expression Identification Using Lateral Inhibition and Domain Adaptation
Andrei-Marius Avram
V. Mititelu
V. Pais
Dumitru-Clementin Cercel
Stefan Trausan-Matu
38
3
0
17 Jun 2023
Do as I can, not as I get
Do as I can, not as I get
Shangfei Zheng
Hongzhi Yin
Tong Chen
Quoc Viet Hung Nguyen
Wei Chen
Lei Zhao
24
1
0
17 Jun 2023
F?D: On understanding the role of deep feature spaces on face generation
  evaluation
F?D: On understanding the role of deep feature spaces on face generation evaluation
Krish Kabra
Guha Balakrishnan
EGVM
CVBM
32
0
0
31 May 2023
Machine Learning and the Future of Bayesian Computation
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
29
4
0
21 Apr 2023
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and
  Prototype Alignment
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment
Jiaqi Jin
Siwei Wang
Zhibin Dong
Xinwang Liu
En Zhu
19
43
0
28 Mar 2023
Object-Centric Relational Representations for Image Generation
Object-Centric Relational Representations for Image Generation
L. Butera
Andrea Cini
Alberto Ferrante
C. Alippi
OCL
DiffM
24
0
0
26 Mar 2023
k-SALSA: k-anonymous synthetic averaging of retinal images via local
  style alignment
k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment
Minkyu Jeon
Hyeon-Jin Park
Hyunwoo J. Kim
Michael Morley
Hyunghoon Cho
MedIm
27
3
0
20 Mar 2023
Adversarial Path Planning for Optimal Camera Positioning
Adversarial Path Planning for Optimal Camera Positioning
Gaia Carenini
Alexandre Duplessis
14
0
0
14 Feb 2023
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion
  Generator with Attention Network for Synthesizing Absent Data
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data
Tianyu Zhang
T. Tan
Luyi Han
Xin Eric Wang
Yuan Gao
Jonas Teuwen
R. Beets-Tan
R. Mann
MedIm
19
1
0
03 Feb 2023
A supplemental investigation of non-linearity in quantum generative
  models with respect to simulatability and optimization
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization
Kaitlin Gili
Rohan S. Kumar
Mykolas Sveistrys
C. Ballance
29
3
0
01 Feb 2023
ACQ: Improving Generative Data-free Quantization Via Attention
  Correction
ACQ: Improving Generative Data-free Quantization Via Attention Correction
Jixing Li
Xiaozhou Guo
Benzhe Dai
Guoliang Gong
Min Jin
Gang Chen
Wenyu Mao
Huaxiang Lu
MQ
30
4
0
18 Jan 2023
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement
Qingshan Hou
Peng Cao
Jia-Qing Wang
Xiaoli Liu
Jinzhu Yang
Osmar R. Zaiane
26
2
0
17 Jan 2023
Zen: LSTM-based generation of individual spatiotemporal cellular traffic
  with interactions
Zen: LSTM-based generation of individual spatiotemporal cellular traffic with interactions
Anne Josiane Kouam
A. C. Viana
A. Tchana
9
0
0
05 Jan 2023
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,300
0
02 Sep 2022
Recent Advances for Quantum Neural Networks in Generative Learning
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
24
80
0
07 Jun 2022
Three-dimensional microstructure generation using generative adversarial
  neural networks in the context of continuum micromechanics
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics
Alexander Henkes
Henning Wessels
3DV
MedIm
AI4CE
15
38
0
31 May 2022
Generative Adversarial Networks for Image Super-Resolution: A Survey
Generative Adversarial Networks for Image Super-Resolution: A Survey
Chunwei Tian
Xuanyu Zhang
Chun-Wei Lin
W. Zuo
Yanning Zhang
Chia-Wen Lin
GAN
31
45
0
28 Apr 2022
An Overview of Recent Work in Media Forensics: Methods and Threats
An Overview of Recent Work in Media Forensics: Methods and Threats
Kratika Bhagtani
A. Yadav
Emily R. Bartusiak
Ziyue Xiang
Ruiting Shao
Sriram Baireddy
Edward J. Delp
AAML
47
25
0
26 Apr 2022
DR-GAN: Distribution Regularization for Text-to-Image Generation
DR-GAN: Distribution Regularization for Text-to-Image Generation
Hongchen Tan
Xiuping Liu
Baocai Yin
Xin Li
GAN
16
35
0
17 Apr 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
E. Olaniyi
Dong Chen
Yuzhen Lu
Ya-Yu Huang
21
38
0
10 Apr 2022
Diffusion Probabilistic Modeling for Video Generation
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang
Prakhar Srivastava
Stephan Mandt
DiffM
VGen
32
255
0
16 Mar 2022
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing
  Performance
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance
Shiwei Liu
Yuesong Tian
Tianlong Chen
Li Shen
30
8
0
05 Mar 2022
Synthetic Defect Generation for Display Front-of-Screen Quality
  Inspection: A Survey
Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey
Shancong Mou
Mengsi Cao
Zhendong Hong
Ping-Chia Huang
Jiulong Shan
Jianjun Shi
9
3
0
03 Mar 2022
Generalization Metrics for Practical Quantum Advantage in Generative
  Models
Generalization Metrics for Practical Quantum Advantage in Generative Models
Kaitlin Gili
M. Mauri
A. Perdomo-Ortiz
30
7
0
21 Jan 2022
A Survey on Training Challenges in Generative Adversarial Networks for
  Biomedical Image Analysis
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis
Muhammad Muneeb Saad
Ruairi O'Reilly
M. H. Rehmani
MedIm
36
35
0
19 Jan 2022
DeepCreativity: Measuring Creativity with Deep Learning Techniques
DeepCreativity: Measuring Creativity with Deep Learning Techniques
Giorgio Franceschelli
Mirco Musolesi
11
5
0
16 Jan 2022
Salient Feature Extractor for Adversarial Defense on Deep Neural
  Networks
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks
Jinyin Chen
Ruoxi Chen
Haibin Zheng
Zhaoyan Ming
Wenrong Jiang
Chen Cui
AAML
9
10
0
14 May 2021
Applications of Deep Learning Techniques for Automated Multiple
  Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Parisa Moridian
Mitra Rezaei
...
Juan M Gorriz
Jónathan Heras
M. Panahiazar
S. Nahavandi
U. Acharya
24
125
0
11 May 2021
Quaternion Generative Adversarial Networks
Quaternion Generative Adversarial Networks
Eleonora Grassucci
Edoardo Cicero
Danilo Comminiello
17
33
0
19 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
36
477
0
08 Mar 2021
An overview of artificial intelligence techniques for diagnosis of
  Schizophrenia based on magnetic resonance imaging modalities: Methods,
  challenges, and future works
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi
A. Shoeibi
Navid Ghassemi
Parisa Moridian
Ali Khadem
...
Juan M Gorriz
F. Khozeimeh
Yu-Dong Zhang
S. Nahavandi
U. Acharya
17
105
0
24 Feb 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
22
79
0
17 Sep 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
265
0
09 Jun 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,344
0
12 Dec 2018
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
50
264
0
30 Nov 2018
Fully Convolutional Adaptation Networks for Semantic Segmentation
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang
Zhaofan Qiu
Ting Yao
Dong Liu
Tao Mei
SSeg
OOD
158
349
0
23 Apr 2018
VITAL: VIsual Tracking via Adversarial Learning
VITAL: VIsual Tracking via Adversarial Learning
Yibing Song
Chao Ma
Xiaohe Wu
Lijun Gong
Linchao Bao
W. Zuo
Chunhua Shen
Rynson W. H. Lau
Ming-Hsuan Yang
GAN
AAML
60
501
0
12 Apr 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
673
0
17 Feb 2018
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
145
569
0
19 Mar 2017
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
75
512
0
29 Nov 2016
Inverting The Generator Of A Generative Adversarial Network
Inverting The Generator Of A Generative Adversarial Network
Antonia Creswell
Anil Anthony Bharath
GAN
162
338
0
17 Nov 2016
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