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Spatial Frequency Bias in Convolutional Generative Adversarial Networks

Spatial Frequency Bias in Convolutional Generative Adversarial Networks

4 October 2020
Mahyar Khayatkhoei
Ahmed Elgammal
    GAN
ArXivPDFHTML

Papers citing "Spatial Frequency Bias in Convolutional Generative Adversarial Networks"

30 / 30 papers shown
Title
Model Synthesis for Zero-Shot Model Attribution
Model Synthesis for Zero-Shot Model Attribution
Tianyun Yang
Juan Cao
Danding Wang
Chang Xu
WIGM
75
4
0
20 Jan 2025
Content-Aware Preserving Image Generation
Content-Aware Preserving Image Generation
Giang H. Le
Anh Q. Nguyen
Byeongkeun Kang
Yeejin Lee
DiffM
41
0
0
15 Nov 2024
Will the Inclusion of Generated Data Amplify Bias Across Generations in
  Future Image Classification Models?
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?
Zeliang Zhang
Xin Liang
Mingqian Feng
Susan Liang
Chenliang Xu
39
1
0
14 Oct 2024
Beta Sampling is All You Need: Efficient Image Generation Strategy for
  Diffusion Models using Stepwise Spectral Analysis
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
Haeil Lee
Han S. Lee
Seoyeon Gye
Junmo Kim
DiffM
49
2
0
16 Jul 2024
Preserving Fairness Generalization in Deepfake Detection
Preserving Fairness Generalization in Deepfake Detection
Li Lin
Xinan He
Yan Ju
Xin Wang
Feng Ding
Shu Hu
42
35
0
27 Feb 2024
Improving Feature Stability during Upsampling -- Spectral Artifacts and
  the Importance of Spatial Context
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
Shashank Agnihotri
Julia Grabinski
M. Keuper
30
6
0
29 Nov 2023
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution
  via Frequency-Aware Inverse-Consistency GAN
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN
Weiwen Zhang
Dawei Yang
Haoxuan Che
A. Ran
Carol Y. Cheung
Hao Chen
25
1
0
29 Sep 2023
FreeU: Free Lunch in Diffusion U-Net
FreeU: Free Lunch in Diffusion U-Net
Chenyang Si
Ziqi Huang
Yuming Jiang
Ziwei Liu
DiffM
51
132
0
20 Sep 2023
Quality-Agnostic Deepfake Detection with Intra-model Collaborative
  Learning
Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning
B. Le
Simon S. Woo
AAML
26
27
0
12 Sep 2023
A survey on bias in machine learning research
A survey on bias in machine learning research
Agnieszka Mikołajczyk-Bareła
M. Grochowski
AI4CE
FaML
38
5
0
22 Aug 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models:
  A Survey and Outlook
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook
Mingyuan Fan
Chengyu Wang
Cen Chen
Yang Liu
Jun Huang
HILM
39
3
0
31 Jul 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero
  Shot
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
Milad Abdollahzadeh
Touba Malekzadeh
Christopher T. H. Teo
Keshigeyan Chandrasegaran
Guimeng Liu
Ngai-man Cheung
VLM
MedIm
47
21
0
26 Jul 2023
On the Effectiveness of Spectral Discriminators for Perceptual Quality
  Improvement
On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement
Xin Luo
Yunan Zhu
Shunxin Xu
Dong Liu
34
11
0
22 Jul 2023
Forest Parameter Prediction by Multiobjective Deep Learning of
  Regression Models Trained with Pseudo-Target Imputation
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation
Sara Björk
S. N. Anfinsen
Michael C. Kampffmeyer
E. Næsset
T. Gobakken
Lennart Noordermeer
15
1
0
19 Jun 2023
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and
  Diversity of Generative Models in High Dimensions
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
Mahyar Khayatkhoei
Wael AbdAlmageed
30
3
0
16 Jun 2023
Parents and Children: Distinguishing Multimodal DeepFakes from Natural
  Images
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
Roberto Amoroso
Davide Morelli
Marcella Cornia
Lorenzo Baraldi
A. Bimbo
Rita Cucchiara
DiffM
37
29
0
02 Apr 2023
Low-frequency Image Deep Steganography: Manipulate the Frequency
  Distribution to Hide Secrets with Tenacious Robustness
Low-frequency Image Deep Steganography: Manipulate the Frequency Distribution to Hide Secrets with Tenacious Robustness
Huajie Chen
Tianqing Zhu
Yuandi Zhao
B. Liu
Xin Yu
Wanlei Zhou
AAML
30
2
0
23 Mar 2023
Diffusion Probabilistic Model Made Slim
Diffusion Probabilistic Model Made Slim
Xingyi Yang
Daquan Zhou
Jiashi Feng
Xinchao Wang
DiffM
27
103
0
27 Nov 2022
Towards the Detection of Diffusion Model Deepfakes
Towards the Detection of Diffusion Model Deepfakes
Jonas Ricker
Simon Damm
Thorsten Holz
Asja Fischer
DiffM
35
101
0
26 Oct 2022
Discovering Transferable Forensic Features for CNN-generated Images
  Detection
Discovering Transferable Forensic Features for CNN-generated Images Detection
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Alexander Binder
Ngai-man Cheung
AAML
37
27
0
24 Aug 2022
On the Activation Function Dependence of the Spectral Bias of Neural
  Networks
On the Activation Function Dependence of the Spectral Bias of Neural Networks
Q. Hong
Jonathan W. Siegel
Qinyan Tan
Jinchao Xu
34
23
0
09 Aug 2022
Simpler is better: spectral regularization and up-sampling techniques
  for variational autoencoders
Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders
Sara Bjork
Jonas Nordhaug Myhre
T. Johansen
DRL
47
5
0
19 Jan 2022
Exploring the Asynchronous of the Frequency Spectra of GAN-generated
  Facial Images
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images
B. Le
Simon S. Woo
CVBM
30
12
0
15 Dec 2021
ADD: Frequency Attention and Multi-View based Knowledge Distillation to
  Detect Low-Quality Compressed Deepfake Images
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
B. Le
Simon S. Woo
AAML
24
80
0
07 Dec 2021
On the Frequency Bias of Generative Models
On the Frequency Bias of Generative Models
Katja Schwarz
Yiyi Liao
Andreas Geiger
24
78
0
03 Nov 2021
On the potential of sequential and non-sequential regression models for
  Sentinel-1-based biomass prediction in Tanzanian miombo forests
On the potential of sequential and non-sequential regression models for Sentinel-1-based biomass prediction in Tanzanian miombo forests
Sara Björk
S. N. Anfinsen
E. Næsset
T. Gobakken
Eliakimu Zahabu
21
7
0
21 Jun 2021
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images
  Detection
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Ngai-man Cheung
16
83
0
31 Mar 2021
Exploring The Effect of High-frequency Components in GANs Training
Exploring The Effect of High-frequency Components in GANs Training
Ziqiang Li
Pengfei Xia
Xue Rui
Bin Li
GAN
43
17
0
20 Mar 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
297
10,368
0
12 Dec 2018
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
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