Personalized and Sequential Text-to-Image Generation

We address the problem of personalized, interactive text-to-image (T2I) generation, designing a reinforcement learning (RL) agent which iteratively improves a set of generated images for a user through a sequence of prompt expansions. Using human raters, we create a novel dataset of sequential prefe...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Nabati, Ofir, Tennenholtz, Guy, Hsu, ChihWei, Ryu, Moonkyung, Ramachandran, Deepak, Chow, Yinlam, Li, Xiang, Boutilier, Craig
Format:	Artikel
Sprache:	eng
Schlagworte:	Customization Datasets Image processing Preferences
Online-Zugang:	Volltext
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