Comments (3)
For question 2, I extract the 'intermediates' from first frame and fix it for the following frames. It improves the results but does it make sense?
from inr-harmonization.
Hi @wzking09 ,
To my knowledge, currently, the quite efficient way is to predict the params of color filters, which can lead to a lightweight and efficient network easily (yet lead to inferior performance). I'd like to recommend Harmonizer as a reference for color-filter-based methods.
For the second question, yes, the inconsistency of adjacent frames is a problem valuable to research. Currently, there exist some solutions to this problem, which you may refer to in Section V-D in the newest version of our paper.
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Your possible solution for question 2 may work for short clips, but how to generalize to long videos with varying scenes?
from inr-harmonization.
Thanks!
I've tried Harmonizer on my own data. The predicted filter params vary a lot among frames. Maybe there is a huge gap between train/test data sources. And yes, all test data are very short videos.
from inr-harmonization.
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from inr-harmonization.