AI RESEARCH
RealRep: Generalized SDR-to-HDR Conversion via Attribute-Disentangled Representation Learning
arXiv CS.CV
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ArXi:2505.07322v4 Announce Type: replace High-Dynamic-Range Wide-Color-Gamut (HDR-WCG) technology is becoming increasingly widespread, driving a growing need for converting Standard Dynamic Range (SDR) content to HDR. Existing methods primarily rely on fixed tone mapping operators, which struggle to handle the diverse appearances and degradations commonly present in real-world SDR content. To address this limitation, we propose a generalized SDR-to-HDR framework that enhances robustness by learning attribute-disentangled representations.