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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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 7675 - 7684
Hauptverfasser:	Wang, Yibin, Zhang, Weizhong, Zheng, Jianwei, Jin, Cheng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 16.06.2024
Schlagworte:	Collaboration Diffusion Image synthesis Noise Pipelines Predictive models Semantics Subject-to-Image Synthesis Text-to-Image Synthesis Training
ISSN:	1063-6919
Online-Zugang:	Volltext
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