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The paper introduces Distribution Matching Distillation (DMD), a method to transform a diffusion model into a one-step image generator with minimal impact on image quality. DMD outperforms other few-step diffusion approaches in terms of speed and performance.
https://arxiv.org/abs//2311.18828
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
By Igor Melnyk5
33 ratings
The paper introduces Distribution Matching Distillation (DMD), a method to transform a diffusion model into a one-step image generator with minimal impact on image quality. DMD outperforms other few-step diffusion approaches in terms of speed and performance.
https://arxiv.org/abs//2311.18828
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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