SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation

Recent advancements in subject-driven image generation have led to zero-shot generation, yet precise selection and focus on crucial subject representations remain challenging. Addressing this, we introduce the SSR-Encoder, a novel architecture designed for selectively capturing any subject from sing...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 8069 - 8078
Hauptverfasser:	Zhang, Yuxuan, Song, Yiren, Liu, Jiaming, Wang, Rui, Yu, Jinpeng, Tang, Hao, Li, Huaxia, Tang, Xu, Hu, Yao, Pan, Han, Jing, Zhongliang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 16.06.2024
Schlagworte:	Adaptation models Computer vision Ecosystems Feature extraction Image coding Image synthesis Training
ISSN:	1063-6919
Online-Zugang:	Volltext
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