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[QA] The GAN is dead; long live the GAN! A Modern Baseline GAN
This paper challenges the notion that GANs are hard to train, presenting R3GAN, a simplified, modernized GAN architecture that outperforms existing models on various datasets.
https://arxiv.org/abs//2501.05441
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
This paper challenges the notion that GANs are hard to train, presenting R3GAN, a simplified, modernized GAN architecture that outperforms existing models on various datasets.
https://arxiv.org/abs//2501.05441
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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