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Preprint Sep 2026

CLeaR: A Unified Framework for Resolving the Leakage-Degradation Dilemma in Style Transfer

CLeaR, a training-free framework for content-leakage-resistant style transfer, is proposed and experiments demonstrate that CLeaR improves style alignment, reduces content leakage, and achieves better LLM-as-Judge evaluation compared with existing methods.

Teng Zhou, Yunhao Chen · 0 citations

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