8 Min.

[QA] Distilling Diffusion Models into Conditional GANs Arxiv Papers

    • Wissenschaft

Proposing a method to distill a complex diffusion model into a single-step GAN, accelerating inference while maintaining image quality, outperforming existing models on COCO benchmark.



https://arxiv.org/abs//2405.05967



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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Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

Proposing a method to distill a complex diffusion model into a single-step GAN, accelerating inference while maintaining image quality, outperforming existing models on COCO benchmark.



https://arxiv.org/abs//2405.05967



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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Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

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