The paper introduces a DiT-based flow-matching model that generates linear images by synthesizing text-conditioned exposure brackets to preserve full dynamic range.
Unprocessing im- ages for learned raw denoising
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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.
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Linear Image Generation by Synthesizing Exposure Brackets
The paper introduces a DiT-based flow-matching model that generates linear images by synthesizing text-conditioned exposure brackets to preserve full dynamic range.
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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.