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Training generative adversarial networks with limited data

, , , , , и . arXiv preprint arXiv:2006.06676, (2020)

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Timo Aila

Hanna Ben Abdulla Ailan

Peter Ailakov

Milka Ailakowa

Diana Timova

 

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Analyzing and Improving the Image Quality of StyleGAN., , , , , и . CVPR, стр. 8107-8116. Computer Vision Foundation / IEEE, (2020)A Style-Based Generator Architecture for Generative Adversarial Networks, , и . (2018)cite arxiv:1812.04948.Temporal Ensembling for Semi-Supervised Learning., и . ICLR (Poster), OpenReview.net, (2017)Training Generative Adversarial Networks with Limited Data., , , , , и . NeurIPS, (2020)Alias-Free Generative Adversarial Networks., , , , , , и . NeurIPS, стр. 852-863. (2021)Generating Long Videos of Dynamic Scenes., , , , , , , , и . NeurIPS, (2022)StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 30105-30118. PMLR, (2023)Elucidating the Design Space of Diffusion-Based Generative Models., , , и . NeurIPS, (2022)The Role of ImageNet Classes in Fréchet Inception Distance., , , , и . ICLR, OpenReview.net, (2023)Analyzing and Improving the Image Quality of StyleGAN., , , , , и . CoRR, (2019)