Old Photo Restoration with GANs
Generative model for restoring degraded old photos, plus image inpainting with the same architecture.
- Pix2Pix GAN with PatchGAN discriminator: patch-level discrimination focused on the local detail lost in old photos; generator trained to produce realistic restorations
- Image inpainting with the same architecture on a similar dataset
- Dataset: Flickr-Faces-HQ Small (FFHQ-Small), 3,143 face images, 90:10 train/validation split
- Restored outputs are sharper, more colorful, and less noisy than the originals; inference notebook included for trying the model
Code: github.com/bimarshak7/GAN-image-restore
Stack: Python, PyTorch, Jupyter
