A two-stage CNN framework with separate restoration and enhancement networks, trained on two separately generated groundtruths, outperforms one-stage deep ISP models and traditional pipelines on three raw-to-sRGB benchmarks.
Ffdnet: Toward a fast and flexible solution for cnn-based image denoising,
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CameraNet: A Two-Stage Framework for Effective Camera ISP Learning
A two-stage CNN framework with separate restoration and enhancement networks, trained on two separately generated groundtruths, outperforms one-stage deep ISP models and traditional pipelines on three raw-to-sRGB benchmarks.