Aligning Diffusion Models with Noise-Conditioned Perception

Recent advancements in human preference optimization, initially developed for Language Models (LMs), have shown promise for text-to-image Diffusion Models, enhancing prompt alignment, visual appeal, and user preference. Unlike LMs, Diffusion Models typically optimize in pixel or VAE space, which doe...

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Bibliographische Detailangaben

Hauptverfasser:	Gambashidze, Alexander, Kulikov, Anton, Sosnin, Yuriy, Makarov, Ilya
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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