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hi,dyelax
I found that in the original paper, each scale network is to learn Yk - uk(Yk-1). But in your implementation, it is to learn Yk. Did I misunderstand ?
The text was updated successfully, but these errors were encountered:
@dyelax hi, I mean in the paper, there is an equation (2) , which means Generator Network at size k is to learn the difference and it should add the previous size k/2 output.
In your code, it should add some codes like this before g_model.py:271 :
if last_gen_frames is not None:
preds += last_gen_frames
return preds, scale_gts
Am i right ?
hi,dyelax
I found that in the original paper, each scale network is to learn Yk - uk(Yk-1). But in your implementation, it is to learn Yk. Did I misunderstand ?
The text was updated successfully, but these errors were encountered: