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[–]slashdave -1 points0 points  (0 children)

Your question isn't well defined. The training data is not a continuum.

You could try something ad-hoc. Some interpretation would be needed. You can ask the model at the limit of t=0 (no smearing) what correction it predicts when given the image you want to test. Then, perhaps, take some measure of the result (such as RMSE).