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This paper reviews the second AIM learned ISP challenge and provides thedescription of the proposed solutions and results. The participating teams weresolving a real-world RAW-to-RGB mapping problem, where to goal was to map theoriginal low-quality RAW images captured by the Huawei P20 device to the samephotos obtained with the Canon 5D DSLR camera. The considered task embraced anumber of complex computer vision subtasks, such as image demosaicing,denoising, white balancing, color and contrast correction, demoireing, etc. Thetarget metric used in this challenge combined fidelity scores (PSNR and SSIM)with solutions' perceptual results measured in a user study. The proposedsolutions significantly improved the baseline results, defining thestate-of-the-art for practical image signal processing pipeline modeling.

AIM 2020 Challenge on Learned Image Signal Processing Pipeline