A 19k-parameter pixel-wise exposure correction model, trained by treating multi-exposure copies of a photo as each other's ground truth, matches larger supervised models on a new radiometric dataset and improves edge detection, despite mixed results on the standard MSEC benchmark.
IEEE Transactions on Image Processing27(4), 2049–2062 (2018)
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Unsupervised Exposure Correction
A 19k-parameter pixel-wise exposure correction model, trained by treating multi-exposure copies of a photo as each other's ground truth, matches larger supervised models on a new radiometric dataset and improves edge detection, despite mixed results on the standard MSEC benchmark.