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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
SketchyCOCO: Image Generation from Freehand Scene Sketches
SketchyCOCO: Image Generation from Freehand Scene SketchesComputer Vision and Pattern Recognition (CVPR), 2020
Chengying Gao
Qi Liu
Qi Xu
Limin Wang
Jianzhuang Liu
C. Zou
444
132
0
05 Mar 2020
GANwriting: Content-Conditioned Generation of Styled Handwritten Word
  Images
GANwriting: Content-Conditioned Generation of Styled Handwritten Word ImagesEuropean Conference on Computer Vision (ECCV), 2020
Lei Kang
Pau Riba
Yaxing Wang
Marçal Rusiñol
Alicia Fornés
M. Villegas
DiffMGAN
217
105
0
05 Mar 2020
A Novel Measure to Evaluate Generative Adversarial Networks Based on
  Direct Analysis of Generated Images
A Novel Measure to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images
Shuyue Guan
Murray H. Loew
EGVM
163
13
0
27 Feb 2020
Topology Distance: A Topology-Based Approach For Evaluating Generative
  Adversarial Networks
Topology Distance: A Topology-Based Approach For Evaluating Generative Adversarial NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020
Danijela Horak
Simiao Yu
G. Salimi-Khorshidi
EGVM
95
18
0
27 Feb 2020
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI
  Systems
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI Systems
Vineel Nagisetty
Laura Graves
Joseph Scott
Vijay Ganesh
GANDRL
177
34
0
24 Feb 2020
A Novel Framework for Selection of GANs for an Application
A Novel Framework for Selection of GANs for an Application
Tanya Motwani
Manojkumar Somabhai Parmar
260
10
0
20 Feb 2020
GANILLA: Generative Adversarial Networks for Image to Illustration
  Translation
GANILLA: Generative Adversarial Networks for Image to Illustration TranslationImage and Vision Computing (IVC), 2020
Samet Hicsonmez
Nermin Samet
Emre Akbas
P. D. Sahin
EGVMGAN
191
50
0
13 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and ApplicationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
234
992
0
20 Jan 2020
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar
  Micro-Doppler Signatures
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler SignaturesIEEE Transactions on Aerospace and Electronic Systems (TAES), 2020
B. Erol
S. Gurbuz
M. Amin
67
66
0
19 Jan 2020
Latent Variables on Spheres for Autoencoders in High Dimensions
Latent Variables on Spheres for Autoencoders in High Dimensions
Deli Zhao
Jiapeng Zhu
Bo Zhang
DRL
69
10
0
21 Dec 2019
Lower Dimensional Kernels for Video Discriminators
Lower Dimensional Kernels for Video DiscriminatorsNeural Networks (NN), 2019
Emmanuel Kahembwe
S. Ramamoorthy
177
52
0
18 Dec 2019
Normalization of breast MRIs using Cycle-Consistent Generative
  Adversarial Networks
Normalization of breast MRIs using Cycle-Consistent Generative Adversarial Networks
Gourav Modanwal
Adithya Vellal
Maciej A. Mazurowski
MedIm
200
30
0
16 Dec 2019
Modeling EEG data distribution with a Wasserstein Generative Adversarial
  Network to predict RSVP Events
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP EventsIEEE transactions on neural systems and rehabilitation engineering (TNSRE), 2019
Sharaj Panwar
P. Rad
T. Jung
Yufei Huang
GAN
194
60
0
11 Nov 2019
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Semantic Object Accuracy for Generative Text-to-Image SynthesisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Tobias Hinz
Stefan Heinrich
S. Wermter
EGVM
299
177
0
29 Oct 2019
The Six Fronts of the Generative Adversarial Networks
The Six Fronts of the Generative Adversarial Networks
Alceu Bissoto
Eduardo Valle
Sandra Avila
GANAI4CE
147
18
0
29 Oct 2019
Fully Parallel Hyperparameter Search: Reshaped Space-Filling
Fully Parallel Hyperparameter Search: Reshaped Space-FillingInternational Conference on Machine Learning (ICML), 2019
Marie-Liesse Cauwet
Camille Couprie
J. Dehos
Pauline Luc
Jérémy Rapin
M. Rivière
F. Teytaud
O. Teytaud
203
28
0
18 Oct 2019
A cost-effective method for improving and re-purposing large,
  pre-trained GANs by fine-tuning their class-embeddings
A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings
Qi Li
Long Mai
Michael A. Alcorn
Anh Totti Nguyen
303
6
0
10 Oct 2019
Training Generative Networks with general Optimal Transport distances
Training Generative Networks with general Optimal Transport distances
Vaios Laschos
Jan Tinapp
Klaus Obermayer
OTGAN
114
0
0
01 Oct 2019
Synthesis of Realistic ECG using Generative Adversarial Networks
Synthesis of Realistic ECG using Generative Adversarial Networks
Anne Marie Delaney
Eoin Brophy
T. Ward
143
94
0
19 Sep 2019
Cosmological N-body simulations: a challenge for scalable generative
  models
Cosmological N-body simulations: a challenge for scalable generative modelsComputational Astrophysics and Cosmology (CAC), 2019
Nathanael Perraudin
Ankit Srivastava
Aurelien Lucchi
T. Kacprzak
Thomas Hofmann
Alexandre Réfrégier
161
36
0
15 Aug 2019
Controlling biases and diversity in diverse image-to-image translation
Controlling biases and diversity in diverse image-to-image translationComputer Vision and Image Understanding (CVIU), 2019
Yaxing Wang
Abel Gonzalez-Garcia
Joost van de Weijer
Luis Herranz
125
6
0
23 Jul 2019
Gesture-to-Gesture Translation in the Wild via Category-Independent
  Conditional Maps
Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional MapsACM Multimedia (ACM MM), 2019
Yahui Liu
Marco De Nadai
Gloria Zen
Andrii Zadaianchuk
Bruno Lepri
GANSLR
134
19
0
12 Jul 2019
On the Evaluation of Conditional GANs
On the Evaluation of Conditional GANs
Terrance Devries
Adriana Romero
Luis Villaseñor-Pineda
Graham W. Taylor
M. Drozdzal
EGVM
144
48
0
11 Jul 2019
Enhanced generative adversarial network for 3D brain MRI
  super-resolution
Enhanced generative adversarial network for 3D brain MRI super-resolutionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Jiancong Wang
Yuhua Chen
Yifan Wu
Jianbo Shi
J. Gee
MedImGAN
122
73
0
10 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and ChallengesInformation Fusion (Inf. Fusion), 2019
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
284
281
0
29 Jun 2019
Curriculum Learning for Deep Generative Models with Clustering
Curriculum Learning for Deep Generative Models with Clustering
Deli Zhao
Jiapeng Zhu
Zhenfang Guo
Bo Zhang
GNN
155
2
0
27 Jun 2019
Generative Adversarial Networks in Computer Vision: A Survey and
  Taxonomy
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang
Qi She
T. Ward
MedImEGVM
635
92
0
04 Jun 2019
Near-Term Quantum-Classical Associative Adversarial Networks
Near-Term Quantum-Classical Associative Adversarial Networks
Eric R. Anschütz
Cristian Zanoci
GAN
129
13
0
30 May 2019
Semi-Implicit Generative Model
Semi-Implicit Generative Model
Mingzhang Yin
Mingyuan Zhou
VLMGAN
114
3
0
29 May 2019
The Shape of Data: Intrinsic Distance for Data Distributions
The Shape of Data: Intrinsic Distance for Data DistributionsInternational Conference on Learning Representations (ICLR), 2019
Anton Tsitsulin
Marina Munkhoeva
Davide Mottin
Panagiotis Karras
A. Bronstein
Ivan Oseledets
Emmanuel Müller
188
57
0
27 May 2019
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea
  Detection
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection
K. Nikolaidis
Stein Kristiansen
V. Goebel
T. Plagemann
Knut Liestøl
Mohan S. Kankanhalli
AI4TS
114
23
0
22 May 2019
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
Ziqiang Zheng
Yang Wu
Zhibin Yu
Yang Yang
Haiyong Zheng
T. Kanade
GAN
81
0
0
16 May 2019
One-Shot Image-to-Image Translation via Part-Global Learning with a
  Multi-adversarial Framework
One-Shot Image-to-Image Translation via Part-Global Learning with a Multi-adversarial FrameworkIEEE transactions on multimedia (IEEE TMM), 2019
Ziqiang Zheng
Zhibin Yu
Haiyong Zheng
Yang Yang
Heng Tao Shen
132
15
0
12 May 2019
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating
  Generative Adversarial Networks
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks
Zhengwei Wang
Qi She
Alan F. Smeaton
T. Ward
Graham Healy
EGVM
248
12
0
10 May 2019
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI
  Sequences Synthesis
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences SynthesisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Hongwei Bran Li
Johannes C. Paetzold
Anjany Sekuboyina
Florian Kofler
Jianguo Zhang
Jan S. Kirschke
Benedikt Wiestler
Bjoern Menze
GANMedIm
149
92
0
29 Apr 2019
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative
  Models
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou
Mitchell L. Gordon
Ranjay Krishna
Austin Narcomey
Li Fei-Fei
Michael S. Bernstein
VLMEGVM
180
131
0
01 Apr 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
129
15
0
12 Feb 2019
Out-of-Sample Testing for GANs
Out-of-Sample Testing for GANs
Pablo Sánchez-Martín
Pablo M. Olmos
Fernando Perez-Cruz
126
2
0
28 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Ryan Webster
Julien Rabin
Loïc Simon
F. Jurie
GAN
155
103
0
09 Jan 2019
On Relativistic $f$-Divergences
On Relativistic fff-Divergences
Alexia Jolicoeur-Martineau
77
21
0
08 Jan 2019
Evaluating Generative Adversarial Networks on Explicitly Parameterized
  Distributions
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions
S. O'Brien
Matthew Groh
Abhimanyu Dubey
51
2
0
27 Dec 2018
Generative Models from the perspective of Continual Learning
Generative Models from the perspective of Continual Learning
Timothée Lesort
Hugo Caselles-Dupré
Michael Garcia Ortiz
Andrei Stoian
David Filliat
VLMDiffM
147
167
0
21 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation
A Survey of Unsupervised Deep Domain Adaptation
Garrett Wilson
D. Cook
OOD
293
909
0
06 Dec 2018
Void Filling of Digital Elevation Models with Deep Generative Models
Void Filling of Digital Elevation Models with Deep Generative Models
K. Gavriil
G. Muntingh
O. Barrowclough
GANDiffM
193
24
0
30 Nov 2018
GAN Dissection: Visualizing and Understanding Generative Adversarial
  Networks
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
David Bau
Jun-Yan Zhu
Hendrik Strobelt
Bolei Zhou
J. Tenenbaum
William T. Freeman
Antonio Torralba
GAN
67
0
0
26 Nov 2018
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training
  of High-resolution Temporal GAN
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GANInternational Journal of Computer Vision (IJCV), 2018
Masaki Saito
Shunta Saito
Masanori Koyama
Sosuke Kobayashi
240
156
0
22 Nov 2018
Adversarial Feedback Loop
Adversarial Feedback LoopIEEE International Conference on Computer Vision (ICCV), 2018
Firas Shama
Roey Mechrez
Alon Shoshan
Lihi Zelnik-Manor
163
23
0
20 Nov 2018
A domain agnostic measure for monitoring and evaluating GANs
A domain agnostic measure for monitoring and evaluating GANs
Paulina Grnarova
Kfir Y. Levy
Aurelien Lucchi
Nathanael Perraudin
Ian Goodfellow
Thomas Hofmann
Andreas Krause
EGVM
226
8
0
13 Nov 2018
Use of Neural Signals to Evaluate the Quality of Generative Adversarial
  Network Performance in Facial Image Generation
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
Zhengwei Wang
Graham Healy
Alan F. Smeaton
T. Ward
EGVM
213
39
0
10 Nov 2018
Bias and Generalization in Deep Generative Models: An Empirical Study
Bias and Generalization in Deep Generative Models: An Empirical StudyNeural Information Processing Systems (NeurIPS), 2018
Shengjia Zhao
Hongyu Ren
Arianna Yuan
Jiaming Song
Noah D. Goodman
Stefano Ermon
AI4CE
145
147
0
08 Nov 2018
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