Comments (1)
lmxyy
commented on July 17, 2024
It is okay to follow the original Pix2pixHD generator architecture. In my opinion, you could use the "once-for-all" trying to finelly reduce the channel width of Pix2pixHD. You may need to support search space in the Pix2pixHD supernet modules. Currently, we have adopted the evolution search algorithm, which is much more efficient than the previous search algorithm, so you do not have to worry about the size of the search space.
I think you could try our SPADE model, which is reported to be more efficient in their paper, and we already have some results on SPADE. I do not know the capacity and the redundancy of Pix2pixHD, so I could not predict your results. If your question is more detailed, I think I may give you more feasible advice.
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Related Issues (20)
- Gray-Scale Input Support HOT 1
- What do these two paths mean?（--metaA_path --metaB_path） HOT 3
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