Fetching the paper…
Reading the bibliography…
Currently, image generation and synthesis have remarkably progressed with generative models.
Modelling the Power Spectra of Natural Images: Statistics and Information
van der Schaaf, A.; and van Hateren, J. 1996 · 1996
Earlier work this paper cites.
Modelling the Power Spectra of Natural Images: Statistics and Information
van der Schaaf, A.; and van Hateren, J. 1996 · 1996
Earlier work this paper cites.
Modern Mathematical Methods for Physicists and Engineers
Cantrell, C. D. 2000 · 2000
Earlier work this paper cites.
Modern Mathematical Methods for Physicists and Engineers
Cantrell, C. D. 2000 · 2000
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Wang, Z.; Bovik, A.; Sheikh, H.; and Simoncelli, E. 2004 · 2004
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Wang, Z.; Bovik, A.; Sheikh, H.; and Simoncelli, E. 2004 · 2004
Earlier work this paper cites.
An image is worth 16x16 words: Transformers for image recognition at scale
Dosovitskiy, A.; Beyer, L.; Kolesnikov, A.; Weissenborn, D.; Zhai, X.; Unterthiner, T.; Dehghani, M.; Minderer, M.; Heigold, G.; Gelly, S.; et al. 2020 · 2010
Earlier work this paper cites.
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Gutmann, M.; and Hyvärinen, A. 2010 · 2010
Earlier work this paper cites.
Denoising Diffusion Implicit Models
Song, J.; Meng, C.; and Ermon, S. 2020 · 2010
Earlier work this paper cites.
An image is worth 16x16 words: Transformers for image recognition at scale
Dosovitskiy, A.; Beyer, L.; Kolesnikov, A.; Weissenborn, D.; Zhai, X.; Unterthiner, T.; Dehghani, M.; Minderer, M.; Heigold, G.; Gelly, S.; et al. 2020 · 2010
Earlier work this paper cites.
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Gutmann, M.; and Hyvärinen, A. 2010 · 2010
Earlier work this paper cites.
Denoising Diffusion Implicit Models
Song, J.; Meng, C.; and Ermon, S. 2020 · 2010
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
Earlier work this paper cites.
Deep Learning Face Attributes in the Wild
Liu, Z.; Luo, P.; Wang, X.; and Tang, X. 2015 · 2015
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, A.; Metz, L.; and Chintala, S. 2015 · 2015
Earlier work this paper cites.
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Yu, F.; Zhang, Y.; Song, S.; Seff, A.; and Xiao, J. 2015 · 2015
Earlier work this paper cites.
Deep Learning Face Attributes in the Wild
Liu, Z.; Luo, P.; Wang, X.; and Tang, X. 2015 · 2015
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, A.; Metz, L.; and Chintala, S. 2015 · 2015
Earlier work this paper cites.
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Yu, F.; Zhang, Y.; Song, S.; Seff, A.; and Xiao, J. 2015 · 2015
Earlier work this paper cites.
Deconvolution and Checkerboard Artifacts
Odena, A.; Dumoulin, V.; and Olah, C. 2016 · 2016
Earlier work this paper cites.
Deconvolution and Checkerboard Artifacts
Odena, A.; Dumoulin, V.; and Olah, C. 2016 · 2016
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M.; Ramsauer, H.; Unterthiner, T.; Nessler, B.; and Hochreiter, S. 2017 · 2017
Earlier work this paper cites.
Image-to-Image Translation with Conditional Adversarial Networks
Isola, P.; Zhu, J.-Y.; Zhou, T.; and Efros, A. A. 2017 · 2017
Earlier work this paper cites.
Least Squares Generative Adversarial Networks
Mao, X.; Li, Q.; Xie, H.; Lau, R. Y.; Wang, Z.; and Smolley, S. P. 2017 · 2017
Earlier work this paper cites.
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
Zhu, J.-Y.; Park, T.; Isola, P.; and Efros, A. A. 2017 · 2017
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M.; Ramsauer, H.; Unterthiner, T.; Nessler, B.; and Hochreiter, S. 2017 · 2017
Earlier work this paper cites.
Image-to-Image Translation with Conditional Adversarial Networks
Isola, P.; Zhu, J.-Y.; Zhou, T.; and Efros, A. A. 2017 · 2017
Earlier work this paper cites.
Least Squares Generative Adversarial Networks
Mao, X.; Li, Q.; Xie, H.; Lau, R. Y.; Wang, Z.; and Smolley, S. P. 2017 · 2017
Earlier work this paper cites.
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
Zhu, J.-Y.; Park, T.; Isola, P.; and Efros, A. A. 2017 · 2017
Earlier work this paper cites.
StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
Choi, Y.; Choi, M.; Kim, M.; Ha, J.-W.; Kim, S.; and Choo, J. 2018 · 2018
Cited alongside, same era.
Detecting GAN-generated imagery using color cues
McCloskey, S.; and Albright, M. 2018 · 2018
Cited alongside, same era.
Face Morphing Detection Using Fourier Spectrum of Sensor Pattern Noise
Zhang, L.-B.; Peng, F.; and Long, M. 2018 · 2018
Cited alongside, same era.
StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
Choi, Y.; Choi, M.; Kim, M.; Ha, J.-W.; Kim, S.; and Choo, J. 2018 · 2018
Cited alongside, same era.
Detecting GAN-generated imagery using color cues
McCloskey, S.; and Albright, M. 2018 · 2018
Cited alongside, same era.
Noiseprint: A CNN-Based Camera Model Fingerprint
Cozzolino, D.; and Verdoliva, L. 2020 · 2020
Later among the works it cites.
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
Later among the works it cites.
Leveraging frequency analysis for deep fake image recognition
Frank, J.; Eisenhofer, T.; Schönherr, L.; Fischer, A.; Kolossa, D.; and Holz, T. 2020 · 2020
Later among the works it cites.
Denoising Diffusion Probabilistic Models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
Later among the works it cites.
Analyzing and Improving the Image Quality of StyleGAN
Karras, T.; Laine, S.; Aittala, M.; Hellsten, J.; Lehtinen, J.; and Aila, T. 2020 · 2020
Later among the works it cites.
Contrastive Learning for Unpaired Image-to-Image Translation
Park, T.; Efros, A. A.; Zhang, R.; and Zhu, J.-Y. 2020 · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Face Morphing Detection Using Fourier Spectrum of Sensor Pattern Noise
Zhang, L.-B.; Peng, F.; and Long, M. 2018 · 2018
Cited alongside, same era.
A Style-Based Generator Architecture for Generative Adversarial Networks
Karras, T.; Laine, S.; and Aila, T. 2019 · 2019
Cited alongside, same era.
Do gans leave artificial fingerprints?
Marra, F.; Gragnaniello, D.; Verdoliva, L.; and Poggi, G. 2019 · 2019
Cited alongside, same era.
Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations
Matern, F.; Riess, C.; and Stamminger, M. 2019 · 2019
Cited alongside, same era.
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paszke, A.; Gross, S.; Massa, F.; Lerer, A.; Bradbury, J.; Chanan, G.; Killeen, T.; Lin, Z.; Gimelshein, N.; Antiga, L.; Desmaison, A.; Kopf, A.; Yang, E.; DeVito, Z.; Raison, M.; Tejani, A.; Chilamkurthy, S.; Steiner, B.; Fang, L.; Bai, J.; and Chintala, S. 2019 · 2019
Cited alongside, same era.
Detecting and Simulating Artifacts in GAN Fake Images
Zhang, X.; Karaman, S.; and Chang, S.-F. 2019 · 2019
Cited alongside, same era.
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zhou, Z.; Siddiquee, M. M. R.; Tajbakhsh, N.; and Liang, J. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
CNN-Generated Images Are Surprisingly Easy to Spot… for Now
Wang, S.-Y.; Wang, O.; Zhang, R.; Owens, A.; and Efros, A. A. 2020 · 2020
Later among the works it cites.
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
Chen, Y.; Li, G.; Jin, C.; Liu, S.; and Li, T. 2021 · 2021
Later among the works it cites.
Dual contrastive learning for unsupervised image-to-image translation
Han, J.; Shoeiby, M.; Petersson, L.; and Armin, M. A. 2021 · 2021
Later among the works it cites.
Focal Frequency Loss for Image Reconstruction and Synthesis
Jiang, L.; Dai, B.; Wu, W.; and Loy, C. C. 2021 · 2021
Later among the works it cites.
Spectral Distribution Aware Image Generation
Jung, S.; and Keuper, M. 2021 · 2021
Later among the works it cites.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Nichol, A.; Dhariwal, P.; Ramesh, A.; Shyam, P.; Mishkin, P.; McGrew, B.; Sutskever, I.; and Chen, M. 2021 · 2021
Later among the works it cites.
Score-based generative modeling through stochastic differential equations
Song, Y.; Sohl-dickstein, J.; Kingma, D. P.; Kumar, A.; Ermon, S.; and Poole, B. 2021 · 2021
Later among the works it cites.
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
Chen, Y.; Li, G.; Jin, C.; Liu, S.; and Li, T. 2021 · 2021
Later among the works it cites.
Dual contrastive learning for unsupervised image-to-image translation
Han, J.; Shoeiby, M.; Petersson, L.; and Armin, M. A. 2021 · 2021
Later among the works it cites.
Focal Frequency Loss for Image Reconstruction and Synthesis
Jiang, L.; Dai, B.; Wu, W.; and Loy, C. C. 2021 · 2021
Later among the works it cites.
Spectral Distribution Aware Image Generation
Jung, S.; and Keuper, M. 2021 · 2021
Later among the works it cites.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Nichol, A.; Dhariwal, P.; Ramesh, A.; Shyam, P.; Mishkin, P.; McGrew, B.; Sutskever, I.; and Chen, M. 2021 · 2021
Later among the works it cites.
Score-based generative modeling through stochastic differential equations
Song, Y.; Sohl-dickstein, J.; Kingma, D. P.; Kumar, A.; Ermon, S.; and Poole, B. 2021 · 2021
Later among the works it cites.
Think Twice Before Detecting GAN-generated Fake Images from their Spectral Domain Imprints
Dong, C.; Kumar, A.; and Liu, E. 2022 · 2022
Later among the works it cites.
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations
Jeong, Y.; Kim, D.; Ro, Y.; and Choi, J. 2022 · 2022
Later among the works it cites.
Generative modelling with inverse heat dissipation
Rissanen, S.; Heinonen, M.; and Solin, A. 2022 · 2022
Later among the works it cites.
Think Twice Before Detecting GAN-generated Fake Images from their Spectral Domain Imprints
Dong, C.; Kumar, A.; and Liu, E. 2022 · 2022
Later among the works it cites.
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations
Jeong, Y.; Kim, D.; Ro, Y.; and Choi, J. 2022 · 2022
Later among the works it cites.
Generative modelling with inverse heat dissipation
Rissanen, S.; Heinonen, M.; and Solin, A. 2022 · 2022
Later among the works it cites.
Towards the Detection of Diffusion Model Deepfakes
Ricker, J.; Damm, S.; Holz, T.; and Fischer, A. 2023 · 2023
Later among the works it cites.
Diffusion Probabilistic Model Made Slim
Yang, X.; Zhou, D.; Feng, J.; and Wang, X. 2023 · 2023
Later among the works it cites.
Towards the Detection of Diffusion Model Deepfakes
Ricker, J.; Damm, S.; Holz, T.; and Fischer, A. 2023 · 2023
Later among the works it cites.
Diffusion Probabilistic Model Made Slim
Yang, X.; Zhou, D.; Feng, J.; and Wang, X. 2023 · 2023
Later among the works it cites.