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cao-cong / RViDeNet

Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes. CVPR 2020
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what about unprocessed video denoising results #11

Open oneTaken opened 4 years ago

oneTaken commented 4 years ago

I find that you use unprocessed video + PG noise model to generate enough training video pairs, then tuning with the real video dataset.

Considering the train/dev real scenes is 6, and the unprocess method can synthesis much more dataset, what about the results before tuning?

Thx.

cao-cong commented 4 years ago

The scenes between train and test set in MOT Challenge dataset are similar, and the other scenes in train set are not good enough for test. So we didn't synthesize more data and test on it.