About model's result on cropped pictures from CelebA dataset about rfr-inpainting HOT 3 CLOSED

Hi, thanks for your question first!
For this question, I thought it is due to the biases in the training images in the dataset, i.e. they put the face in the center of of an image. Then the model might only learn to inpaint images under this setting. Besides, it seems that the cropped images are also resized to to 256, under which setting the model might fail due to the change of context resolution. Can you try to inpaint on the cropped images without resizing them? I thought there should have some way to generate good results even if the images are cropped.

from rfr-inpainting.

Thank you for your quick reply.
I tried setting the target size to 128*128 on the cropped images following your instruction. However, it seems better than before, still not very well.

Masked:

Result:

If the set target size is 128*128 for original CelebA images, the results are worse than before.

Masked:

Result:

Maybe a re-train or finetune is needed for a cross-resolution generation?
Thanks!

from rfr-inpainting.

Thank you for your quick reply.
I tried setting the target size to 128*128 on the cropped images following your instruction. However, it seems better than before, still not very well.

Masked:

Result:

If the set target size is 128*128 for original CelebA images, the results are worse than before.

Masked:

Result:

Maybe a re-train or finetune is needed for a cross-resolution generation?
Thanks!

Yeah, given the results from your case, it then seems to be necessary to at least finetune the model for a while.

from rfr-inpainting.