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Ze-Jia Zhong

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Preprint Oct 2026

FASTER: Fast Adjoint Stochastic Transport for Endpoint Refinement in Reward-Guided Image Editing

Reward-guided image editing at test time seeks to improve a specified reward while preserving source content and visual plausibility. Many existing approaches optimize candidates through pretrained generation processes, making repeated adjustment depend on costly large-model execution and, in some cases, backbone backp...

Yi-Miao Zhou, Ze-Jia Zhong, Jing-Ya Wang et al. · 0 citations

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