This is a reimplemetation of [1].
It uses python3, pytorch, and tensorboadX by default.
see experiment.ipynb for discription and result visulization.
I've uploaded Pretrained SRGAN weight file to:
https://drive.google.com/open?id=1wfLQCXTR9YoxiWgkVoVw9NLHo4HO-jSL
Download it and put it in a new directory:
mkdir -p Finding-Tiny-Faces-with-GAN/models
python train.py
[1] Bai Y, Zhang Y, Ding M, et al. Finding tiny faces in the wild with generative adversarial network[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 21-30.
[2] Ledig C, Theis L, Huszár F, et al. Photo-realistic single image super-resolution using a generative adversarial network[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 4681-4690.