Adaptive Color Grading paper: KNN beats end-to-end models at tonescale prediction
ssh4net · x · 2026-09-21
A paper by Trevor D. Canham, Abhijith Punnappurath, and Michael S. Brown introduces an open-source color grading tool and uses it to annotate a large dataset of video frames with tonescale region thresholds. Modeling experiments based on both practitioners' conventional wisdom and ML show K-nearest neighbors is an effective prediction strategy, outperforming state-of-the-art end-to-end approaches. Code is open source.
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