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BEGAN: Boundary Equilibrium Generative Adversarial Networks

BEGAN: Boundary Equilibrium Generative Adversarial Networks

31 March 2017
David Berthelot
Tom Schumm
Luke Metz
    GAN
ArXivPDFHTML

Papers citing "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

50 / 201 papers shown
Title
MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection
MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection
Lin Yuan
Xuelong Li
Yan Zhang
Jiawei Zhang
Hongbo Li
Xinbo Gao
38
0
0
18 Apr 2025
Nested Annealed Training Scheme for Generative Adversarial Networks
Nested Annealed Training Scheme for Generative Adversarial Networks
Chang Wan
Ming-Hsuan Yang
Minglu Li
Yunliang Jiang
Zhonglong Zheng
GAN
43
0
0
20 Jan 2025
Learning Algorithms Made Simple
Learning Algorithms Made Simple
Noorbakhsh Amiri Golilarz
Elias Hossain
Abdoljalil Addeh
Keyan Alexander Rahimi
AAML
52
0
0
11 Oct 2024
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
Ouxiang Li
Jiayin Cai
Y. Hao
Xiaolong Jiang
Yao Hu
Fuli Feng
AAML
35
8
0
13 Aug 2024
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
Amin Heyrani Nobari
Giorgio Giannone
Lyle Regenwetter
Faez Ahmed
AI4CE
43
3
0
07 Feb 2024
AdaptNet: Policy Adaptation for Physics-Based Character Control
AdaptNet: Policy Adaptation for Physics-Based Character Control
Pei Xu
Kaixiang Xie
Sheldon Andrews
P. Kry
Michael Neff
Morgan McGuire
Ioannis Karamouzas
Victor Zordan
TTA
37
17
0
30 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo
Hossein Rahmani
Jun Liu
78
31
0
27 Aug 2023
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Farhad Shiri
Thinagaran Perumal
N. Mustapha
Raihani Mohamed
AILaw
SyDa
ELM
AI4TS
55
130
0
27 May 2023
Generative Adversarial Reduced Order Modelling
Generative Adversarial Reduced Order Modelling
Dario Coscia
N. Demo
G. Rozza
GAN
AI4CE
62
5
0
25 May 2023
AlignSTS: Speech-to-Singing Conversion via Cross-Modal Alignment
AlignSTS: Speech-to-Singing Conversion via Cross-Modal Alignment
Ruiqi Li
Rongjie Huang
Lichao Zhang
Jinglin Liu
Zhou Zhao
33
4
0
08 May 2023
Balanced Training for Sparse GANs
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
48
9
0
28 Feb 2023
Recent Advancements in Deep Learning Applications and Methods for
  Autonomous Navigation: A Comprehensive Review
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
Arman Asgharpoor Golroudbari
M. Sabour
18
19
0
22 Feb 2023
GLeaD: Improving GANs with A Generator-Leading Task
GLeaD: Improving GANs with A Generator-Leading Task
Qingyan Bai
Ceyuan Yang
Yinghao Xu
Xihui Liu
Yujiu Yang
Yujun Shen
GAN
20
9
0
07 Dec 2022
Distribution Fitting for Combating Mode Collapse in Generative
  Adversarial Networks
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks
Yanxiang Gong
Zhiwei Xie
Guozhen Duan
Z. Ma
M. Xie
GAN
OffRL
27
3
0
03 Dec 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with
  Limited Data
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
Tiantian Fang
Ruoyu Sun
A. Schwing
GAN
30
16
0
27 Nov 2022
A Review of Intelligent Music Generation Systems
A Review of Intelligent Music Generation Systems
Lei Wang
Ziyi Zhao
Han Liu
Junwei Pang
Yi-qiang Qin
Qidi Wu
MGen
21
31
0
16 Nov 2022
GENHOP: An Image Generation Method Based on Successive Subspace Learning
GENHOP: An Image Generation Method Based on Successive Subspace Learning
Xuejing Lei
Wei Wang
C.-C. Jay Kuo
VLM
30
6
0
07 Oct 2022
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial
  Networks
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks
Blake Bullwinkel
Dylan Randle
P. Protopapas
David Sondak
24
3
0
15 Sep 2022
Auto-Encoding Adversarial Imitation Learning
Auto-Encoding Adversarial Imitation Learning
Kaifeng Zhang
Rui Zhao
Ziming Zhang
Yang Gao
19
1
0
22 Jun 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
Zohreh Azizi
C.-C. Jay Kuo
VLM
DiffM
GAN
35
8
0
01 Jun 2022
End-to-End Rubbing Restoration Using Generative Adversarial Networks
End-to-End Rubbing Restoration Using Generative Adversarial Networks
Gongbo Sun
Zijie Zheng
Ming Zhang
GAN
17
4
0
08 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
44
45
0
28 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific
  Visualization
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization
Chaoli Wang
J. Han
41
36
0
13 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
Robust deep learning for eye fundus images: Bridging real and synthetic
  data for enhancing generalization
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
Guilherme C. Oliveira
Gustavo de Rosa
Daniel Carlos Guimarães Pedronette
João Paulo Papa
Himeesh Kumar
L. A. Passos
Dinesh Kumar
OOD
MedIm
40
9
0
25 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
36
8
0
05 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
27
29,981
0
01 Mar 2022
Improving GAN Equilibrium by Raising Spatial Awareness
Improving GAN Equilibrium by Raising Spatial Awareness
Jianyuan Wang
Ceyuan Yang
Yinghao Xu
Yujun Shen
Hongdong Li
Bolei Zhou
GAN
26
30
0
01 Dec 2021
Visual Intelligence through Human Interaction
Visual Intelligence through Human Interaction
Ranjay Krishna
Mitchell L. Gordon
Fei-Fei Li
Michael S. Bernstein
29
8
0
12 Nov 2021
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial
  Networks
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks
Vineeth S. Bhaskara
Tristan Aumentado-Armstrong
Allan D. Jepson
Alex Levinshtein
GAN
43
5
0
04 Nov 2021
Deep Generative Models in Engineering Design: A Review
Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter
Amin Heyrani Nobari
Faez Ahmed
3DV
AI4CE
34
175
0
21 Oct 2021
Generative Modeling with Optimal Transport Maps
Generative Modeling with Optimal Transport Maps
Litu Rout
Alexander Korotin
Evgeny Burnaev
OT
DiffM
122
65
0
06 Oct 2021
Structure-Preserving Image Super-Resolution
Structure-Preserving Image Super-Resolution
Cheng Ma
Yongming Rao
Jiwen Lu
Jie Zhou
SupR
29
65
0
26 Sep 2021
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine
  Learning
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning
S. Zobaed
Md Fazle Rabby
Md Istiaq Hossain
Ekram Hossain
Sazib Hasan
Asif Karim
Khan Md. Hasib
AAML
46
14
0
07 Sep 2021
An Image-based Generator Architecture for Synthetic Image Refinement
An Image-based Generator Architecture for Synthetic Image Refinement
Alex Nasser
GAN
16
0
0
10 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse
  Similarity Encoding
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding
Sheng Huang
Wanqi Yang
Lei Wang
Luping Zhou
Ming Yang
30
8
0
06 Aug 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning
MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae-Won Cho
Dong-Jin Kim
Yunjae Jung
In So Kweon
16
46
0
23 Jul 2021
Boosting Transferability of Targeted Adversarial Examples via
  Hierarchical Generative Networks
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
Xiao Yang
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
AAML
38
38
0
05 Jul 2021
Decorating Your Own Bedroom: Locally Controlling Image Generation with
  Generative Adversarial Networks
Decorating Your Own Bedroom: Locally Controlling Image Generation with Generative Adversarial Networks
Chen Zhang
Yinghao Xu
Yujun Shen
GAN
44
10
0
18 May 2021
Regularizing Generative Adversarial Networks under Limited Data
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
35
142
0
07 Apr 2021
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and
  Image-to-Image Translation
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation
Itzik Malkiel
Sangtae Ahn
V. Taviani
A. Menini
Lior Wolf
C. Hardy
MedIm
13
0
0
05 Apr 2021
Are deep learning models superior for missing data imputation in large
  surveys? Evidence from an empirical comparison
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison
Zhenhua Wang
O. Akande
Jason Poulos
Fan Li
BDL
26
22
0
14 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
35
412
0
14 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein
  Distance)
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
Jan Stanczuk
Christian Etmann
L. Kreusser
Carola-Bibiane Schönlieb
GAN
16
48
0
02 Mar 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei Xu
Run Wang
Yihao Huang
Qing Guo
Lei Ma
Yang Liu
AAML
33
132
0
27 Feb 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
  Adversarial Networks
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
25
21
0
24 Feb 2021
Generator Surgery for Compressed Sensing
Generator Surgery for Compressed Sensing
Niklas Smedemark-Margulies
Jung Yeon Park
Max Daniels
Rose Yu
Jan-Willem van de Meent
Paul Hand
GAN
MedIm
32
6
0
22 Feb 2021
Guiding GANs: How to control non-conditional pre-trained GANs for
  conditional image generation
Guiding GANs: How to control non-conditional pre-trained GANs for conditional image generation
Manel Mateos
Alejandro G. González
X. Sevillano
GAN
AI4CE
14
1
0
04 Jan 2021
Improving DGA-Based Malicious Domain Classifiers for Malware Defense
  with Adversarial Machine Learning
Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning
Ibrahim Yilmaz
Ambareen Siraj
D. Ulybyshev
AAML
11
14
0
02 Jan 2021
Towards Generalized Implementation of Wasserstein Distance in GANs
Towards Generalized Implementation of Wasserstein Distance in GANs
Minkai Xu
Zhiming Zhou
Guansong Lu
Jian Tang
Weinan Zhang
Yong Yu
21
1
0
07 Dec 2020
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