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Image-level adaptation from synthetic domain to real scenarios

Open jianingwangind opened this issue 5 years ago • 1 comments

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 avatar Sep 19 '19 13:09 jianingwangind

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

lucafei avatar Nov 18 '20 23:11 lucafei