bad test result

[tengshaofeng]

dear @jingyuanli001 , I really appreciate your great job. The result in your paper is amazing. Then I test my own image with your released pretrained model 'RFR_Net_pretrained/checkpoint_celeba.pth'. But my result is bad. Can you help me? the input are:

if I use my own mask, the result:

or:

if use the random mask(set mask_mode=1), the result:

dose it depends on the masks inputed?

[jingyuanli001]

using a mask with 1 indicating the hole region and 0 indicating the background should be adequate. But I am not sure if the result is going to be good when the image is not from the same distribution as CelebA

[tengshaofeng]

using a mask with 1 indicating the hole region and 0 indicating the background should be adequate. But I am not sure if the result is going to be good when the image is not from the same distribution as CelebA

thanks for your reply. My input mask fill the hole with 0, and fill other region with 255, and set mask_reverse = False. if I set mask_reverse = True, then it means mask with 1 indicating the hole region and 0 indicating the background , but the result is worse, the output is not expected.

[nachifur]

@tengshaofeng I have the same problem as you, have you solved it?

[Nuha1412]

Do you solve the problem ?? I need the answer please !