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Video<Clean>, Video<Wild> -> Video<SyntheticDegraded>
Calibrate synthetic degradation parameters (compression, sensor noise, downsampling) using statistical distributions extracted from real-world UGC videos to generate paired training data.
Problem it solves
Models trained on naive synthetic degradations fail to generalize to real-world, in-the-wild short-form video distortions.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.