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@Vious Thanks for your excellent work! I'm training your model on Paris StreetView dataset with central square hole, but the results all suffer from severe artifacts like these:
I'm training with batchsize=16, do you have any idea why?
The text was updated successfully, but these errors were encountered:
Thank you for your interest in our work, we design the network and loss (gan loss) mainly for irregular holes. For a certain kind of holes like central holes, gan loss plays a very important role. Although we use a parallel structure of the discriminator, I observe that when the holes are very large, even the gan loss converges well, the central area still has many artifacts.
In this central hole inpainting task, I suposse using a local gan which the discriminator is designed for only minizing real/fake distrution of the hole area.
@Vious Thanks for your excellent work! I'm training your model on Paris StreetView dataset with central square hole, but the results all suffer from severe artifacts like these:



I'm training with batchsize=16, do you have any idea why?
The text was updated successfully, but these errors were encountered: