JingyunLiang / RVRT

Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
https://arxiv.org/abs/2206.02146
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Questions on RFR #15

Open DianCh opened 1 year ago

DianCh commented 1 year ago

Hi! Thank you for releasing this wonderful work. I have a question on how RFR operates:

Since the dependencies of F_t^i are the items to its LEFT and TOP (like this drawing), and we get shallow features for all clips (t=0,1,...T/N -1) at layer i=0, how do we calculate features for clip t=0 at all layers (i=1,2,...L-1) in order to start the recurrency for later clips? For example, to calculate F(i=1, t=1), it depends on F(i=0, t=0), F(i=0, t=1) (these two I understand are the shallow features to begin with), and F(i=1, t=0) (which I'm not sure where it comes from).

Screen Shot 2023-03-04 at 3 04 03 PM

Thank you in advance! I'd appreciate your help in explaining!