PEN-Net

Reproducing "Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting" of CVPR 2019 by tensorflow

Environmental Requirements

train

python run.py /root/image_root_path/ /root/mask_root_path

test

python test.py /root/image_root_path/ /root/mask_root_path

All parameters are set in config.py.

The main innovation of this paper lies in the feature filling from the characteristics of the upper layer to the lower layer.

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
LICENSE		LICENSE
README.md		README.md
loss.py		loss.py
model.py		model.py