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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 / 270 papers shown
Title
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to
  Limited Data Domains
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data DomainsInternational Journal of Computer Vision (IJCV), 2021
Yaxing Wang
Abel Gonzalez-Garcia
Chenshen Wu
Luis Herranz
Fahad Shahbaz Khan
Shangling Jui
Joost van de Weijer
143
7
0
28 Apr 2021
Ensembles of GANs for synthetic training data generation
Ensembles of GANs for synthetic training data generation
Gabriel Eilertsen
Apostolia Tsirikoglou
Claes Lundström
Jonas Unger
MedIm
156
17
0
23 Apr 2021
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
Gaurav Parmar
Richard Y. Zhang
Jun-Yan Zhu
EGVM
380
83
0
22 Apr 2021
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced
  Problem
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem
Lun Jiang
N. S. Sadghiani
Zhuo Tao
Andrew Cohen
169
1
0
07 Apr 2021
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable
  Layout and Style
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and StyleGerman Conference on Pattern Recognition (DAGM), 2021
Stanislav Frolov
Avneesh Sharma
Jörn Hees
Tushar Karayil
Federico Raue
Andreas Dengel
171
15
0
25 Mar 2021
Reduced Precision Strategies for Deep Learning: A High Energy Physics
  Generative Adversarial Network Use Case
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use CaseInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2021
F. Rehm
S. Vallecorsa
V. Saletore
Hans Pabst
Adel Chaibi
V. Codreanu
Kerstin Borras
D. Krücker
MQ
171
18
0
18 Mar 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and
  Deep Mixtures of Experts
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of ExpertsComputer Vision and Pattern Recognition (CVPR), 2021
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CoGe
248
8
0
12 Mar 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative ModelsInternational Conference on Machine Learning (ICML), 2021
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
247
240
0
17 Feb 2021
Evolving GAN Formulations for Higher Quality Image Synthesis
Evolving GAN Formulations for Higher Quality Image Synthesis
Santiago Gonzalez
Mohak Kant
Risto Miikkulainen
GAN
160
9
0
17 Feb 2021
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration
  in Resource-Limited Edge Computing Applications?
A Competitive Edge: Can FPGAs Beat GPUs at DCNN Inference Acceleration in Resource-Limited Edge Computing Applications?
Ian Colbert
Jake Daly
Ken Kreutz-Delgado
Srinjoy Das
120
15
0
30 Jan 2021
Synthetic Generation of Three-Dimensional Cancer Cell Models from
  Histopathological Images
Synthetic Generation of Three-Dimensional Cancer Cell Models from Histopathological Images
Yoav Alon
Xiang Yu
Huiyu Zhou
DiffM3DVMedIm
162
1
0
26 Jan 2021
Adversarial Text-to-Image Synthesis: A Review
Adversarial Text-to-Image Synthesis: A ReviewNeural Networks (NN), 2021
Stanislav Frolov
Tobias Hinz
Federico Raue
Jörn Hees
Andreas Dengel
EGVM
226
199
0
25 Jan 2021
Influence Estimation for Generative Adversarial Networks
Influence Estimation for Generative Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2021
Naoyuki Terashita
Hiroki Ohashi
Yuichi Nonaka
T. Kanemaru
TDI
273
12
0
20 Jan 2021
On Duality Gap as a Measure for Monitoring GAN Training
On Duality Gap as a Measure for Monitoring GAN TrainingIEEE International Joint Conference on Neural Network (IJCNN), 2020
Sahil Sidheekh
Aroof Aimen
Vineet Madan
N. C. Krishnan
119
5
0
12 Dec 2020
Using GANs to Synthesise Minimum Training Data for Deepfake Generation
Using GANs to Synthesise Minimum Training Data for Deepfake Generation
Simranjeet Singh
Rajneesh Sharma
Alan F. Smeaton
55
23
0
10 Nov 2020
Quantitative analysis of robot gesticulation behavior
Quantitative analysis of robot gesticulation behavior
Unai Zabala
I. Rodriguez
J. M. Martínez-Otzeta
I. Irigoien
E. Lazkano
SLR
73
10
0
22 Oct 2020
Physics-informed GANs for Coastal Flood Visualization
Physics-informed GANs for Coastal Flood Visualization
Björn Lütjens
B. Leshchinskiy
C. Requena-Mesa
F. Chishtie
Natalia Díaz Rodríguez
...
A. Piña
Dava Newman
Alexander Lavin
Y. Gal
Chedy Raïssi
AI4CE
88
16
0
16 Oct 2020
Random Network Distillation as a Diversity Metric for Both Image and
  Text Generation
Random Network Distillation as a Diversity Metric for Both Image and Text Generation
Liam H. Fowl
Micah Goldblum
Arjun Gupta
Amr Sharaf
Tom Goldstein
EGVM
134
3
0
13 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Spatial Frequency Bias in Convolutional Generative Adversarial NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020
Mahyar Khayatkhoei
Ahmed Elgammal
GAN
225
51
0
04 Oct 2020
LEGAN: Disentangled Manipulation of Directional Lighting and Facial
  Expressions by Leveraging Human Perceptual Judgements
LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions by Leveraging Human Perceptual Judgements
Sandipan Banerjee
Ajjen Joshi
Prashant Mahajan
Sneha Bhattacharya
Survi Kyal
Taniya Mishra
CVBMDRL
187
3
0
04 Oct 2020
The Utility of Decorrelating Colour Spaces in Vector Quantised
  Variational Autoencoders
The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders
A. Akbarinia
Raquel Gil-Rodríguez
Alban Flachot
Matteo Toscani
DRL
55
0
0
30 Sep 2020
Backpropagating through Fréchet Inception Distance
Backpropagating through Fréchet Inception Distance
Alexander Mathiasen
Frederik Hvilshoj
EGVM
96
10
0
29 Sep 2020
Novel and flexible parameter estimation methods for data-consistent
  inversion in mechanistic modeling
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modelingRoyal Society Open Science (RSOS), 2020
Timothy Rumbell
Jaimit Parikh
J. Kozloski
V. Gurev
220
9
0
17 Sep 2020
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with
  Wavelet-based Super-Resolution
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution
Seung-Jun Han
Akash Srivastava
C. Hurwitz
P. Sattigeri
David D. Cox
111
9
0
09 Sep 2020
Speech Gesture Generation from the Trimodal Context of Text, Audio, and
  Speaker Identity
Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker IdentityACM Transactions on Graphics (TOG), 2020
Youngwoo Yoon
Bok Cha
Joo-Haeng Lee
Minsu Jang
Jaeyeon Lee
Jaehong Kim
Geehyuk Lee
232
330
0
04 Sep 2020
Evaluation of Deep Convolutional Generative Adversarial Networks for
  data augmentation of chest X-ray images
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray imagesFuture Internet (FI), 2020
Sagar Kora Venu
MedIm
89
52
0
02 Sep 2020
Quasi-symplectic Langevin Variational Autoencoder
Quasi-symplectic Langevin Variational Autoencoder
Zihao Wang
H. Delingette
BDLDRL
209
4
0
02 Sep 2020
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Nan Gao
Hao Xue
Wei Shao
Sichen Zhao
K. K. Qin
Arian Prabowo
Mohammad Saiedur Rahaman
Flora D. Salim
GANAI4TSAI4CE
323
121
0
18 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis:
  Algorithms and Applications
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and ApplicationsProceedings of the IEEE (Proc. IEEE), 2020
Xuan Li
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
394
175
0
06 Aug 2020
Neural Language Generation: Formulation, Methods, and Evaluation
Neural Language Generation: Formulation, Methods, and Evaluation
Cristina Garbacea
Qiaozhu Mei
285
29
0
31 Jul 2020
PowerGAN: Synthesizing Appliance Power Signatures Using Generative
  Adversarial Networks
PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks
Alon Harell
Richard Jones
S. Makonin
Ivan V. Bajić
GAN
66
9
0
20 Jul 2020
Benefiting Deep Latent Variable Models via Learning the Prior and
  Removing Latent Regularization
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization
Rogan Morrow
Wei-Chen Chiu
DRL
113
0
0
07 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
265
23
0
01 Jul 2020
Conditional GAN for timeseries generation
Conditional GAN for timeseries generation
Kaleb E. Smith
Anthony O. Smith
AI4TS
114
96
0
30 Jun 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Vijay Keswani
Oren Mangoubi
Sushant Sachdeva
Nisheeth K. Vishnoi
392
1
0
22 Jun 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
194
315
0
09 Jun 2020
Generating Realistic Stock Market Order Streams
Generating Realistic Stock Market Order Streams
Junyi Li
Xintong Wang
Yaoyang Lin
Arunesh Sinha
Michael P. Wellman
GANAIFin
161
89
0
07 Jun 2020
Structurally aware bidirectional unpaired image to image translation
  between CT and MR
Structurally aware bidirectional unpaired image to image translation between CT and MR
Vismay Agrawal
Avinash Kori
V. K. Anand
Ganapathy Krishnamurthi
DiffMMedIm
71
1
0
05 Jun 2020
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDaAI4CE
295
18
0
27 May 2020
Generative Adversarial Networks (GANs): An Overview of Theoretical
  Model, Evaluation Metrics, and Recent Developments
Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments
Pegah Salehi
A. Chalechale
M. Taghizadeh
EGVM
105
43
0
27 May 2020
High Probability Lower Bounds for the Total Variation Distance
High Probability Lower Bounds for the Total Variation Distance
Loris Michel
Jeffrey Näf
N. Meinshausen
149
3
0
12 May 2020
Deep convolutional generative adversarial networks for traffic data
  imputation encoding time series as images
Deep convolutional generative adversarial networks for traffic data imputation encoding time series as imagesInternational Journal of Transportation Science and Technology (IJTST), 2020
Tongge Huang
Pranamesh Chakraborty
Anuj Sharma
AI4TS
142
44
0
05 May 2020
Adversarial Synthesis of Human Pose from Text
Adversarial Synthesis of Human Pose from TextGerman Conference on Pattern Recognition (DAGM), 2020
Yifei Zhang
Rania Briq
Julian Tanke
Juergen Gall
GAN
104
9
0
01 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions,
  and Future Directions
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future DirectionsACM Computing Surveys (ACM CSUR), 2020
Divya Saxena
Jiannong Cao
AAMLAI4CE
524
368
0
30 Apr 2020
Effect of Input Noise Dimension in GANs
Effect of Input Noise Dimension in GANsInternational Conference on Neural Information Processing (ICONIP), 2020
P. Manisha
Debojit Das
Sujit Gujar
81
25
0
15 Apr 2020
Using Skill Rating as Fitness on the Evolution of GANs
Using Skill Rating as Fitness on the Evolution of GANs
Victor G. Turrisi da Costa
Nuno Lourenço
João Correia
Penousal Machado
103
3
0
09 Apr 2020
Deep Attentive Generative Adversarial Network for Photo-Realistic Image
  De-Quantization
Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization
Yang Zhang
Changhui Hu
Xiaobo Lu
GAN
112
1
0
07 Apr 2020
Lesion Conditional Image Generation for Improved Segmentation of
  Intracranial Hemorrhage from CT Images
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images
Manohar Karki
Junghwan Cho
Seokhwan Ko
GANMedIm
38
5
0
30 Mar 2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable
  Neural Distribution Alignment
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution AlignmentNeural Information Processing Systems (NeurIPS), 2020
Ben Usman
Avneesh Sud
Nick Dufour
Kate Saenko
OOD
109
13
0
26 Mar 2020
Image Generation Via Minimizing Fréchet Distance in Discriminator
  Feature Space
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space
Khoa D. Doan
Saurav Manchanda
Fengjiao Wang
S. Keerthi
Avradeep Bhowmik
Chandan K. Reddy
150
6
0
26 Mar 2020
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