AI RESEARCH
SpiralDiff: Spiral Diffusion with LoRA for RGB-to-RAW Conversion Across Cameras
arXiv CS.CV
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ArXi:2603.14885v1 Announce Type: new RAW images preserve superior fidelity and rich scene information compared to RGB, making them essential for tasks in challenging imaging conditions. To alleviate the high cost of data collection, recent RGB-to-RAW conversion methods aim to synthesize RAW images from RGB. However, they overlook two key challenges: (i) the reconstruction difficulty varies with pixel intensity, and (ii) multi-camera conversion requires camera-specific adaptation.