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[QA] EM Distillation for One-step Diffusion Models
EM Distillation (EMD) proposes a maximum likelihood-based approach to distill diffusion models into efficient one-step generators, outperforming existing methods in FID scores on ImageNet datasets.
https://arxiv.org/abs//2405.16852
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
EM Distillation (EMD) proposes a maximum likelihood-based approach to distill diffusion models into efficient one-step generators, outperforming existing methods in FID scores on ImageNet datasets.
https://arxiv.org/abs//2405.16852
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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