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Pros and Cons of GAN Evaluation Measures
v1v2v3v4v5 (latest)

Pros and Cons of GAN Evaluation Measures

9 February 2018
Ali Borji
    ELMEGVM
ArXiv (abs)PDFHTML

Papers citing "Pros and Cons of GAN Evaluation Measures"

50 / 316 papers shown
Title
Data Augmentation techniques in time series domain: A survey and
  taxonomy
Data Augmentation techniques in time series domain: A survey and taxonomy
Guillermo Iglesias
Edgar Talavera
Ángel González-Prieto
Alberto Mozo
S. Gómez-Canaval
AI4TS
367
244
0
25 Jun 2022
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
StudioGAN: A Taxonomy and Benchmark of GANs for Image SynthesisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Minguk Kang
Joonghyuk Shin
Jaesik Park
EGVM
308
87
0
19 Jun 2022
Evaluating Graph Generative Models with Contrastively Learned Features
Evaluating Graph Generative Models with Contrastively Learned FeaturesNeural Information Processing Systems (NeurIPS), 2022
Hamed Shirzad
Kaveh Hassani
Danica J. Sutherland
175
9
0
13 Jun 2022
Why is constrained neural language generation particularly challenging?
Why is constrained neural language generation particularly challenging?
Cristina Garbacea
Qiaozhu Mei
322
18
0
11 Jun 2022
Subjective Quality Assessment for Images Generated by Computer Graphics
Subjective Quality Assessment for Images Generated by Computer GraphicsIEEE International Workshop on Multimedia Signal Processing (MMSP), 2022
Tao Wang
Zicheng Zhang
Wei Sun
Xiongkuo Min
Wei Lu
Guangtao Zhai
202
5
0
10 Jun 2022
Learning Robust Representations Of Generative Models Using Set-Based
  Artificial Fingerprints
Learning Robust Representations Of Generative Models Using Set-Based Artificial Fingerprints
Hae Jin Song
Wael AbdAlmageed
OOD
134
0
0
04 Jun 2022
Generative Models with Information-Theoretic Protection Against
  Membership Inference Attacks
Generative Models with Information-Theoretic Protection Against Membership Inference Attacks
Parisa Hassanzadeh
Rupam Acharyya
100
3
0
31 May 2022
Structured Uncertainty in the Observation Space of Variational
  Autoencoders
Structured Uncertainty in the Observation Space of Variational Autoencoders
James A. G. Langley
M. Monteiro
Charles Jones
Nick Pawlowski
Ben Glocker
CMLOODBDLDRL
160
3
0
25 May 2022
Paired Image-to-Image Translation Quality Assessment Using Multi-Method
  Fusion
Paired Image-to-Image Translation Quality Assessment Using Multi-Method Fusion
Stefan Borasinski
Esin Yavuz
Sébastien Béhuret
EGVM
45
2
0
09 May 2022
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of
  Epileptic Seizures
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic SeizuresIEEE Transactions on Biomedical Engineering (IEEE TBME), 2022
Yankun Xu
Jie Yang
Mohamad Sawan
170
36
0
29 Apr 2022
Assessing the ability of generative adversarial networks to learn
  canonical medical image statistics
Assessing the ability of generative adversarial networks to learn canonical medical image statisticsIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Varun A. Kelkar
Dimitrios S. Gotsis
F. Brooks
K. Prabhat
Kyle J. Myers
R. Zeng
M. Anastasio
MedImGANLM&MA
195
36
0
26 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
217
40
0
10 Apr 2022
Evaluating Procedures for Establishing Generative Adversarial
  Network-based Stochastic Image Models in Medical Imaging
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging
Varun A. Kelkar
Dimitrios S. Gotsis
F. Brooks
Kyle J. Myers
Prabhat Kc
R. Zeng
M. Anastasio
MedIm
126
1
0
07 Apr 2022
Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for
  Profitable and Reliable Delivery Commitments by Wind Farm Operators
Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for Profitable and Reliable Delivery Commitments by Wind Farm OperatorsComputers and Chemical Engineering (CCE), 2022
Eike Cramer
Leonard Paeleke
Alexander Mitsos
Manuel Dahmen
190
14
0
05 Apr 2022
InstaFormer: Instance-Aware Image-to-Image Translation with Transformer
InstaFormer: Instance-Aware Image-to-Image Translation with TransformerComputer Vision and Pattern Recognition (CVPR), 2022
Soohyun Kim
Jongbeom Baek
Jihye Park
Gyeongnyeon Kim
Seung Wook Kim
ViT
277
55
0
30 Mar 2022
From MIM-Based GAN to Anomaly Detection:Event Probability Influence on
  Generative Adversarial Networks
From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial NetworksIEEE Internet of Things Journal (IEEE IoT J.), 2022
R. She
Pingyi Fan
GAN
111
8
0
25 Mar 2022
Generative Modeling Helps Weak Supervision (and Vice Versa)
Generative Modeling Helps Weak Supervision (and Vice Versa)International Conference on Learning Representations (ICLR), 2022
Benedikt Boecking
Nicholas Roberts
Willie Neiswanger
Stefano Ermon
Frederic Sala
Artur Dubrawski
388
1
0
22 Mar 2022
A survey on GANs for computer vision: Recent research, analysis and
  taxonomy
A survey on GANs for computer vision: Recent research, analysis and taxonomyComputer Science Review (CSR), 2022
Guillermo Iglesias
Edgar Talavera
Alberto Díaz-Álvarez
EGVMAI4TS
283
86
0
21 Mar 2022
deepNIR: Datasets for generating synthetic NIR images and improved fruit
  detection system using deep learning techniques
deepNIR: Datasets for generating synthetic NIR images and improved fruit detection system using deep learning techniquesItalian National Conference on Sensors (INS), 2022
Inkyu Sa
Jongyoon Lim
H. Ahn
Bruce A. MacDonald
145
26
0
17 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 SurveySID Symposium Digest of Technical Papers (SID), 2022
Shancong Mou
Mengsi Cao
Zhendong Hong
Ping Huang
Jiulong Shan
Jianjun Shi
206
5
0
03 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse &
  Other Factors
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other FactorsComputer Vision and Pattern Recognition (CVPR), 2022
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
VLMOODMedIm
401
109
0
02 Mar 2022
Scenario Parameter Generation Method and Scenario Representativeness
  Metric for Scenario-Based Assessment of Automated Vehicles
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
Erwin de Gelder
Jasper P Hof
Eric Cator
J. Paardekooper
Olaf Op den Camp
J. Ploeg
B. de Schutter
92
43
0
24 Feb 2022
CycleGAN for Undamaged-to-Damaged Domain Translation for Structural
  Health Monitoring and Damage Detection
CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage DetectionMechanical systems and signal processing (MSSP), 2022
Furkan Luleci
F. Catbas
Onur Avcı
AI4CE
173
67
0
16 Feb 2022
An Optimal Transport Perspective on Unpaired Image Super-Resolution
An Optimal Transport Perspective on Unpaired Image Super-ResolutionJournal of Optimization Theory and Applications (JOTA), 2022
Milena Gazdieva
Litu Rout
Alexander Korotin
A. Kravchenko
Alexander N. Filippov
Evgeny Burnaev
Evgeny Burnaev
OT
293
14
0
02 Feb 2022
On the Robustness of Quality Measures for GANs
On the Robustness of Quality Measures for GANsEuropean Conference on Computer Vision (ECCV), 2022
Motasem Alfarra
Juan C. Pérez
Anna Frühstück
Juil Sock
Peter Wonka
Guohao Li
AAMLEGVM
287
10
0
31 Jan 2022
Addressing the Intra-class Mode Collapse Problem using Adaptive Input
  Image Normalization in GAN-based X-ray Images
Addressing the Intra-class Mode Collapse Problem using Adaptive Input Image Normalization in GAN-based X-ray ImagesAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022
Muhammad Muneeb Saad
M. H. Rehmani
Ruairi O'Reilly
GANMedImAI4CE
133
13
0
25 Jan 2022
Generalization Metrics for Practical Quantum Advantage in Generative
  Models
Generalization Metrics for Practical Quantum Advantage in Generative ModelsPhysical Review Applied (Phys. Rev. Appl.), 2022
Kaitlin Gili
M. Mauri
A. Perdomo-Ortiz
248
9
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 AnalysisArtificial Intelligence Review (Artif Intell Rev), 2022
Muhammad Muneeb Saad
Ruairi O'Reilly
M. H. Rehmani
MedIm
343
63
0
19 Jan 2022
Neuroplastic graph attention networks for nuclei segmentation in
  histopathology images
Neuroplastic graph attention networks for nuclei segmentation in histopathology images
Yoav Alon
Huiyu Zhou
GNN
185
4
0
10 Jan 2022
Optimal 1-Wasserstein Distance for WGANs
Optimal 1-Wasserstein Distance for WGANsBernoulli (Bernoulli), 2022
Arthur Stéphanovitch
Ugo Tanielian
B. Cadre
N. Klutchnikoff
Gérard Biau
OTGAN
111
5
0
08 Jan 2022
An Evaluation Study of Generative Adversarial Networks for Collaborative
  Filtering
An Evaluation Study of Generative Adversarial Networks for Collaborative FilteringEuropean Conference on Information Retrieval (ECIR), 2022
F. B. P. Maurera
Maurizio Ferrari Dacrema
Paolo Cremonesi
211
2
0
05 Jan 2022
Culture-to-Culture Image Translation and User Evaluation
Culture-to-Culture Image Translation and User Evaluation
Giulia Zaino
Carmine Tommaso Recchiuto
A. Sgorbissa
442
3
0
05 Jan 2022
Comparison and Analysis of Image-to-Image Generative Adversarial
  Networks: A Survey
Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey
Sagar Saxena
Mohammad Nayeem Teli
EGVMGANMedIm
184
31
0
23 Dec 2021
Generating Synthetic Mixed-type Longitudinal Electronic Health Records
  for Artificial Intelligent Applications
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications
Jin Li
B. Cairns
Jingsong Li
T. Zhu
SyDa
243
99
0
22 Dec 2021
Mind the Gap! A Study on the Transferability of Virtual vs
  Physical-world Testing of Autonomous Driving Systems
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving SystemsIEEE Transactions on Software Engineering (TSE), 2021
Andrea Stocco
Brian Pulfer
Paolo Tonella
245
93
0
21 Dec 2021
Incentivizing Collaboration in Machine Learning via Synthetic Data
  Rewards
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
Sebastian Shenghong Tay
Xinyi Xu
Chuan-Sheng Foo
Bryan Kian Hsiang Low
SyDa
101
40
0
17 Dec 2021
An Unsupervised Way to Understand Artifact Generating Internal Units in
  Generative Neural Networks
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks
Haedong Jeong
Jiyeon Han
Jaesik Choi
142
3
0
16 Dec 2021
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided
  Adversarial Learning
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning
Chang-Hwan Oh
Wonjune Cho
Daehee Park
Yujeong Chae
Lin Wang
Kuk-Jin Yoon
3DVMDE
157
25
0
12 Dec 2021
Generative Adversarial Networks for Labeled Acceleration Data
  Augmentation for Structural Damage Detection
Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage DetectionJournal of Civil Structural Health Monitoring (JCSHM), 2021
Furkan Luleci
F. Catbas
Onur Avcı
202
67
0
07 Dec 2021
Generative Adversarial Networks for Data Generation in Structural Health
  Monitoring
Generative Adversarial Networks for Data Generation in Structural Health MonitoringFrontiers in Built Environment (Front. Built Environ.), 2021
Furkan Luleci
F. Catbas
Onur Avcı
107
21
0
07 Dec 2021
Generative Adversarial Networks for Labelled Vibration Data Generation
Generative Adversarial Networks for Labelled Vibration Data Generation
Furkan Luleci
F. Catbas
Onur Avcı
GANAI4CE
83
9
0
07 Dec 2021
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs
Guohao Ying
Xin He
Bin-Bin Gao
Bo Han
Xiaowen Chu
147
25
0
30 Nov 2021
Unleashing Transformers: Parallel Token Prediction with Discrete
  Absorbing Diffusion for Fast High-Resolution Image Generation from
  Vector-Quantized Codes
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
Sam Bond-Taylor
P. Hessey
Hiroshi Sasaki
T. Breckon
Chris G. Willcocks
DiffM
228
85
0
24 Nov 2021
LOLNeRF: Learn from One Look
LOLNeRF: Learn from One Look
Daniel Rebain
Mark J. Matthews
K. M. Yi
Dmitry Lagun
Andrea Tagliasacchi
3DV
211
114
0
19 Nov 2021
Visual Intelligence through Human Interaction
Visual Intelligence through Human Interaction
Ranjay Krishna
Mitchell L. Gordon
Fei-Fei Li
Michael S. Bernstein
178
9
0
12 Nov 2021
Selective Synthetic Augmentation with HistoGAN for Improved
  Histopathology Image Classification
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
Yuan Xue
Jiarong Ye
Qianying Zhou
L. R. Long
Sameer Kiran Antani
Z. Xue
Carl Cornwell
R. Zaino
K. Cheng
Xiaolei Huang
MedIm
298
122
0
10 Nov 2021
Adversarial sampling of unknown and high-dimensional conditional
  distributions
Adversarial sampling of unknown and high-dimensional conditional distributions
M. Hassanaly
Andrew Glaws
Karen Stengel
Ryan N. King
GAN
188
22
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Improving the quality of generative models through Smirnov
  transformation
Improving the quality of generative models through Smirnov transformationInformation Sciences (Inf. Sci.), 2021
Ángel González-Prieto
Alberto Mozo
Sandra Gómez Canaval
Edgar Talavera
168
10
0
29 Oct 2021
Validation Methods for Energy Time Series Scenarios from Deep Generative
  Models
Validation Methods for Energy Time Series Scenarios from Deep Generative Models
Eike Cramer
L. R. Gorjão
Alexander Mitsos
B. Schäfer
D. Witthaut
Manuel Dahmen
217
18
0
27 Oct 2021
Employing chunk size adaptation to overcome concept drift
Employing chunk size adaptation to overcome concept drift
Jkedrzej Kozal
Filip Guzy
Michal Wo'zniak
AI4TS
72
4
0
25 Oct 2021
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