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Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation
Latent Adversarial Diffusion Distillation (LADD) improves image synthesis speed and quality compared to existing methods by leveraging generative features from pretrained latent diffusion models.
https://arxiv.org/abs//2403.12015
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
Latent Adversarial Diffusion Distillation (LADD) improves image synthesis speed and quality compared to existing methods by leveraging generative features from pretrained latent diffusion models.
https://arxiv.org/abs//2403.12015
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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