Optimizing Prompts Using In-Context Few-Shot Learning for Text-to-Image Generative Models

Recently, various text-to-image generative models have been released, demonstrating their ability to generate high-quality synthesized images from text prompts. Despite these advancements, determining the appropriate text prompts to obtain desired images remains challenging. The quality of the synth...

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Detalles Bibliográficos

Principais autores:	Seunghun Lee, Jihoon Lee, Chan Ho Bae, Myung-Seok Choi, Ryong Lee, Sangtae Ahn
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	In-context few-shot learning pretrained language model prompt optimization text-to-image generation
Acceso en liña:	https://ieeexplore.ieee.org/document/10378642/
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