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PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity
PLADIS enhances pre-trained diffusion models using sparse attention, improving text-to-image generation without extra training, while integrating with guidance techniques and achieving better text alignment and human preference.
https://arxiv.org/abs//2503.07677
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
PLADIS enhances pre-trained diffusion models using sparse attention, improving text-to-image generation without extra training, while integrating with guidance techniques and achieving better text alignment and human preference.
https://arxiv.org/abs//2503.07677
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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