A plug-and-play loss that trains RAW reconstruction networks to remain accurate after diverse photofinishing edits by comparing rendered sRGB outputs from a randomly parameterized differentiable ISP.
ReRAW: RGB-to-RAW image recon- struction via stratified sampling for efficient object detection on the edge
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Edit-aware RAW Reconstruction
A plug-and-play loss that trains RAW reconstruction networks to remain accurate after diverse photofinishing edits by comparing rendered sRGB outputs from a randomly parameterized differentiable ISP.