DeepFill V2 Protocol

[vivamoto]

Hi,

Congratulations for your outstanding papers, they contain several innovations and contributions.

I am conducting research on face de-occlusion and inpainting, and came across your papers. The research requires the exact replication of your DeepFill V2 experiments, since I'll use it as a baseline in my research. I couldn't find some key information neither in the paper nor in the code and YAML file.

I need the following information for CelebA and CelebA-HQ datasets:

1. Number of images used in the train and validation sets.
2. Image preprocessing, such as data augmentation, resizing, alignment, etc.
3. The CelebA-HQ paper says there are 30k images, but the dataset comes with 100k images. Where did you get this dataset? The link in inpaint.yml file is broken.
4. The CelebA link in inpaint.yml file is also broken.
5. Just to confirm, the image size during training is 256x256 and testing is 512x512?

I searched the closed issues, but couldn't find the flist files; I found just the code to create them.

Thanks,
Victor.