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Published 20 hours ago • verified publisher icon nbei

explaination regarding FlowNet2

Open dagnichz opened this issue 4 years ago • 0 comments

i'm having a hard time understanding why you need FlowNet2 when performing video_inpaining.py to my understanding , FlowNet2 provides optical flow for the unmasked frames. However, in your paper you did not used Flownet2 but created DFC-net to reconstruct flow in masked regions. do I understand correctly? if so , can you explain why the Flownet2 model is needed in the inference code ?

thanks in advance

dagnichz avatar Jan 18 '21 10:01 dagnichz