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Generation of photo-realistic images, semantic editing and representation learning are a few of many potential applications of high resolution generative models.
UCF101: A dataset of 101 human actions classes from videos in the wild
K. Soomro, A. R. Zamir, and M. Shah · 2012
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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J. Donahue, P. Krähenbühl, and T. Darrell · 2016
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Adversarially learned inference
V. Dumoulin, I. Belghazi, B. Poole, O. Mastropietro, A. Lamb, M. Arjovsky, and A. Courville · 2016
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and F. Li · 2016
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Invertible conditional gans for image editing
G. Perarnau, J. Van De Weijer, B. Raducanu, and J. M. Álvarez · 2016
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Improved techniques for training gans
T. Salimans, I. J. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Generative visual manipulation on the natural image manifold
J.-Y. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros · 2016
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From optimal transport to generative modeling: the vegan cookbook, 2017
O. Bousquet, S. Gelly, I. Tolstikhin, C.-J. Simon-Gabriel, and B. Schoelkopf · 2017
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Progressive growing of gans for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2017
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Precise recovery of latent vectors from generative adversarial networks
Z. C. Lipton and S. Tripathi · 2017
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Large scale GAN training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2018
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P. Sattigeri, S. C. Hoffman, V. Chenthamarakshan, and K. R. Varshney · 2018
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Wasserstein auto-encoders
I. Tolstikhin, O. Bousquet, S. Gelly, and B. Schoelkopf · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
R. Zhang, P. Isola, A. A. Efros, E. Shechtman, and O. Wang · 2018
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Image2stylegan++: How to edit the embedded images?
R. Abdal, Y. Qin, and P. Wonka · 2019
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Image2stylegan: How to embed images into the stylegan latent space?
R. Abdal, Y. Qin, and P. Wonka · 2019
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Image2stylegan: How to embed images into the stylegan latent space?
R. Abdal, Y. Qin, and P. Wonka · 2019
Cited alongside, same era.
Large scale adversarial representation learning
J. Donahue and K. Simonyan · 2019
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F. H. K. dos Santos Tanaka and C. Aranha · 2019
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Resisting adversarial attacks using gaussian mixture variational autoencoders
P. Ghosh, A. Losalka, and M. J. Black · 2019
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A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
Cited alongside, same era.
Collaborative learning for faster stylegan embedding
S. Guan, Y. Tai, B. Ni, F. Zhu, F. Huang, and X. Yang · 2020
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Analyzing and improving the image quality of StyleGAN
T. Karras, S. Laine, M. Aittala, J. Hellsten, J. Lehtinen, and T. Aila · 2020
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An assessment of gans for identity-related applications
R. T. Marriott, S. Madiouni, S. Romdhani, S. Gentric, and L. Chen · 2020
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Adversarial latent autoencoders
S. Pidhorskyi, D. A. Adjeroh, and G. Doretto · 2020
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Fair attribute classification through latent space de-biasing
V. V. Ramaswamy, S. S. Kim, and O. Russakovsky · 2020
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C. H. Lin, C. Chang, Y. Chen, D. Juan, W. Wei, and H. Chen · 2019
Cited alongside, same era.
Challenging common assumptions in the unsupervised learning of disentangled representations
F. Locatello, S. Bauer, M. Lucic, G. Raetsch, S. Gelly, B. Schölkopf, and O. Bachem · 2019
Cited alongside, same era.
Hologan: Unsupervised learning of 3d representations from natural images
T. Nguyen-Phuoc, C. Li, L. Theis, C. Richardt, and Y.-L. Yang · 2019
Cited alongside, same era.
Generating diverse high-fidelity images with vq-vae-2
A. Razavi, A. van den Oord, and O. Vinyals · 2019
Cited alongside, same era.
LIA: latently invertible autoencoder with adversarial learning
J. Zhu, D. Zhao, and B. Zhang · 2019
Cited alongside, same era.
Towards causal benchmarking of bias in face analysis algorithms
G. Balakrishnan, Y. Xiong, W. Xia, and P. Perona · 2020
Cited alongside, same era.
Semantic photo manipulation with a generative image prior
D. Bau, H. Strobelt, W. Peebles, B. Zhou, J.-Y. Zhu, A. Torralba, et al · 2020
Cited alongside, same era.
Encoding in style: a stylegan encoder for image-to-image translation
E. Richardson, Y. Alaluf, O. Patashnik, Y. Nitzan, Y. Azar, S. Shapiro, and D. Cohen-Or · 2020
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Contrastive examples for addressing the tyranny of the majority
V. Sharmanska, L. A. Hendricks, T. Darrell, and N. Quadrianto · 2020
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Stylerig: Rigging stylegan for 3d control over portrait images, cvpr 2020
A. Tewari, M. Elgharib, G. Bharaj, F. Bernard, H.-P. Seidel, P. Pérez, M. Zöllhofer, and C. Theobalt · 2020
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Unsupervised discovery of interpretable directions in the gan latent space
A. Voynov and A. Babenko · 2020
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Improving inversion and generation diversity in stylegan using a gaussianized latent space
J. Wulff and A. Torralba · 2020
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In-domain gan inversion for real image editing
J. Zhu, Y. Shen, D. Zhao, and B. Zhou · 2020
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Restyle: A residual-based stylegan encoder via iterative refinement, 2021
Y. Alaluf, O. Patashnik, and D. Cohen-Or · 2021
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Very deep {vae}s generalize autoregressive models and can outperform them on images
R. Child · 2021
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A simple baseline for stylegan inversion, 2021
T. Wei, D. Chen, W. Zhou, J. Liao, W. Zhang, L. Yuan, G. Hua, and N. Yu · 2021
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W. Xia, Y. Zhang, Y. Yang, J. Xue, B. Zhou, and M. Yang · 2021
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Generative hierarchical features from synthesizing images
Y. Xu, Y. Shen, J. Zhu, C. Yang, and B. Zhou · 2021
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