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Image-level adaptation from synthetic domain to real scenarios #30

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jianingwangind opened this issue Sep 19, 2019 · 1 comment
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@jianingwangind
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jianingwangind commented Sep 19, 2019

First of all, thanks for the great work.
Recently i have implemented an image-level adaptation from CARLA(a simulator) to real urban scenarios using cycle_gan_model.py. But the results are suboptimal since lots of detail information are losing durting the translation.
clear_noon_00001435_fake_B
The dataset is quite unbalanced with 9000 synthetic images and 21100 real images. The resolution differs also severely where 792 x 272 for synthetic and 4096 x 1024 for real ones. Do you have any ideas how can i get an improvement?

Thanks a lot.

@jianingwangind jianingwangind changed the title Image-level adaptation from another synthetic domain to real scenarios Image-level adaptation from synthetic domain to real scenarios Sep 19, 2019
@lucafei
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lucafei commented Nov 18, 2020

hi, i'm also recently doing a similar work. can you pls tell me how to improve the tranlation?

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