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

Title
Improved Training Technique for Shortcut Models Anh-Tien Nguyen Viet-Anh Nguyen D. Vu T. Dao Chi Tran Toan M. Tran Anh Tran BDL 203 1 0 24 Oct 2025
Rethinking Individual Fairness in Deepfake Detection Aryana Hou Li Lin Justin Li Shu Hu 209 1 0 18 Jul 2025
Model Synthesis for Zero-Shot Model AttributionIEEE transactions on multimedia (IEEE TMM), 2023 Tianyun Yang Juan Cao Danding Wang Chang Xu WIGM 377 4 0 20 Jan 2025
Content-Aware Preserving Image Generation Giang H. Le Anh Q. Nguyen Byeongkeun Kang Yeejin Lee DiffM 309 0 0 15 Nov 2024
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 185 1 0 14 Oct 2024
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 210 6 0 16 Jul 2024
Preserving Fairness Generalization in Deepfake Detection Li Lin Xinan He Yan Ju Xin Eric Wang Feng Ding Shu Hu 212 90 0 27 Feb 2024
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial ContextEuropean Conference on Computer Vision (ECCV), 2023 Shashank Agnihotri Julia Grabinski Margret Keuper 306 12 0 29 Nov 2023
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GANIEEE journal of biomedical and health informatics (IEEE JBHI), 2023 Weiwen Zhang Dawei Yang Haoxuan Che A. Ran Carol Y. Cheung Hao Chen 232 3 0 29 Sep 2023
FreeU: Free Lunch in Diffusion U-NetComputer Vision and Pattern Recognition (CVPR), 2023 Chenyang Si Ziqi Huang Yuming Jiang Ziwei Liu DiffM 286 209 0 20 Sep 2023
Quality-Agnostic Deepfake Detection with Intra-model Collaborative LearningIEEE International Conference on Computer Vision (ICCV), 2023 B. Le Simon S. Woo AAML 188 45 0 12 Sep 2023
A survey on bias in machine learning research Agnieszka Mikołajczyk-Bareła M. Grochowski AI4CE FaML 277 5 0 22 Aug 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and OutlookInternational Journal of Computer Vision (IJCV), 2023 Mingyuan Fan Chengyu Wang Cen Chen Yang Liu Jun Huang HILM 247 11 0 31 Jul 2023
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 269 28 0 26 Jul 2023
On the Effectiveness of Spectral Discriminators for Perceptual Quality ImprovementIEEE International Conference on Computer Vision (ICCV), 2023 Xin Luo Yunan Zhu Shunxin Xu Dong Liu 226 13 0 22 Jul 2023
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 109 1 0 19 Jun 2023
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High DimensionsInternational Conference on Machine Learning (ICML), 2023 Mahyar Khayatkhoei Wael AbdAlmageed 145 7 0 16 Jun 2023
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images Roberto Amoroso Davide Morelli Marcella Cornia Lorenzo Baraldi Marco Bertini Rita Cucchiara DiffM 343 35 0 02 Apr 2023
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 147 4 0 23 Mar 2023
Diffusion Probabilistic Model Made SlimComputer Vision and Pattern Recognition (CVPR), 2022 Xingyi Yang Daquan Zhou Jiashi Feng Xinchao Wang DiffM 275 131 0 27 Nov 2022
Towards the Detection of Diffusion Model Deepfakes Jonas Ricker Simon Damm Thorsten Holz Asja Fischer DiffM 301 134 0 26 Oct 2022
Discovering Transferable Forensic Features for CNN-generated Images DetectionEuropean Conference on Computer Vision (ECCV), 2022 Keshigeyan Chandrasegaran Ngoc-Trung Tran Alexander Binder Ngai-Man Cheung AAML 184 33 0 24 Aug 2022
On the Activation Function Dependence of the Spectral Bias of Neural Networks Q. Hong Jonathan W. Siegel Qinyan Tan Jinchao Xu 264 37 0 09 Aug 2022
Simpler is better: spectral regularization and up-sampling techniques for variational autoencodersIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Sara Bjork Jonas Nordhaug Myhre T. Johansen DRL 127 8 0 19 Jan 2022
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images B. Le Simon S. Woo CVBM 103 17 0 15 Dec 2021
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images B. Le Simon S. Woo AAML 173 105 0 07 Dec 2021
On the Frequency Bias of Generative ModelsNeural Information Processing Systems (NeurIPS), 2021 Katja Schwarz Yiyi Liao Andreas Geiger 145 98 0 03 Nov 2021
On the potential of sequential and non-sequential regression models for Sentinel-1-based biomass prediction in Tanzanian miombo forestsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 2021 Sara Björk S. N. Anfinsen E. Næsset T. Gobakken Eliakimu Zahabu 89 7 0 21 Jun 2021
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images DetectionComputer Vision and Pattern Recognition (CVPR), 2021 Keshigeyan Chandrasegaran Ngoc-Trung Tran Ngai-Man Cheung 184 96 0 31 Mar 2021
Exploring The Effect of High-frequency Components in GANs Training Wandi Qiao Pengfei Xia Xue Rui Bin Li GAN 173 25 0 20 Mar 2021