Image super-resolution with SRGAN

Image restoration is a vast field. There are three main processes involved in image restoration:

• Image super-resolution: Expanding an image to a higher resolution
• Image deblur: Turning a blurry image into a sharp one
• Image inpainting: Filling in holes or removing watermarks in an image

All of these processes involve estimating pixel information from existing pixels. The term restoration of the pixels actually refers to estimating the way they should have looked. Take image super-resolution, for example: to expand the image size by 2, we need to estimate 3 additional pixels to form a 2 x 2 region with the current pixel. Image restoration has been studied by researchers and organizations for decades and many profound mathematical methods have been developed, which kind of discourages non-mathematicians from having fun with it. Now, intriguingly...