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PreResQ-R1: Towards Fine-Grained Rank-and-Score Reinforcement Learning for Visual Quality Assessment via Preference-Response Disentangled Policy Optimization

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Feng, Zehui, Qiu, Tian, Wu, Tong, Li, Junxuan, Xu, Huayuan, Han, Ting
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
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