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This paper observes that there is an issue of high frequencies missing in the discriminator of standard GAN, and we reveal it stems from downsampling layers employed in the network architecture.
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Image-to-image translation with conditional adversarial networks
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Which Training Methods for GANs do actually Converge?
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Spectral Normalization for Generative Adversarial Networks
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Diversity-Sensitive Conditional Generative Adversarial Networks
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Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Peng, X. B.; Kanazawa, A.; Toyer, S.; Abbeel, P.; and Levine, S. 2019 · 2019
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On the spectral bias of neural networks
Rahaman, N.; Baratin, A.; Arpit, D.; Draxler, F.; Lin, M.; Hamprecht, F.; Bengio, Y.; and Courville, A. 2019 · 2019
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Structureflow: Image inpainting via structure-aware appearance flow
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Making Convolutional Networks Shift-Invariant Again
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Self-supervised gans via auxiliary rotation loss
Chen, T.; Zhai, X.; Ritter, M.; Lucic, M.; and Houlsby, N. 2019 · 2019
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Band-limited Training and Inference for Convolutional Neural Networks
Dziedzic, A.; Paparrizos, J.; Krishnan, S.; Elmore, A.; and Franklin, M. 2019 · 2019
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A style-based generator architecture for generative adversarial networks
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High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Wang, H.; Wu, X.; Huang, Z.; and Xing, E. P. 2020a
Cited in the paper.
CNN-generated images are surprisingly easy to spot… for now
Wang, S.-Y.; Wang, O.; Zhang, R.; Owens, A.; and Efros, A. A. 2020b
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Zhang, R. 2019 · 2019
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Detecting and simulating artifacts in gan fake images
Zhang, X.; Karaman, S.; and Chang, S.-F. 2019 · 2019
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Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
Durall, R.; Keuper, M.; and Keuper, J. 2020 · 2020
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Leveraging Frequency Analysis for Deep Fake Image Recognition
Frank, J.; Eisenhofer, T.; Schönherr, L.; Fischer, A.; Kolossa, D.; and Holz, T. 2020 · 2020
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Mimicry: Towards the Reproducibility of GAN Research
Lee, K. S.; and Town, C. 2020 · 2020
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