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issues of
Rajat Arora
the use of dense_image_warp function is wrong. In line 194 of file core_warp.py, you use `query_points_on_grid = batched_grid - flow` but what this line does is a forward warp. But...
Were the demo models provided in examples directory trained in progressive fashion or without it? Also what are the other hyper-parameters for the provided models. Thanks!