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

Zhou, Teng et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Style transfer aims to render target content in the style of a reference image, but existing methods often suffer from content leakage, where objects, layouts, or semantics from the style reference appear in the generated output. Although prior data-driven and training-free methods can reduce leakag
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