High-fidelity Person-centric Subject-to-Image Synthesis

Current subject-driven image generation methods en-counter significant challenges in person-centric image generation. The reason is that they learn the semantic scene and person generation by fine-tuning a common pre-trained diffusion, which involves an irreconcilable training imbalance. Precisely,...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 7675 - 7684
Hlavní autori:	Wang, Yibin, Zhang, Weizhong, Zheng, Jianwei, Jin, Cheng
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 16.06.2024
Predmet:	Collaboration Diffusion Image synthesis Noise Pipelines Predictive models Semantics Subject-to-Image Synthesis Text-to-Image Synthesis Training
ISSN:	1063-6919
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