In this article, I’m going to tell a story of how we’ve created AI-based restoration project for old military photos.

Editor’s note: This article is highly technical and will not be easy reading for most.

What is “photo restoration”? It consists of three steps:

1. We find all the image defects: fractures, scuffs, holes;

2. We inpaint the discovered defects, based on the pixel values around them;

3. We colorize the image.

Further, I’ll describe every step of photo restoration and tell you how we got our data, what nets we trained, what we accomplished, and what mistakes we made.

Looking for Defects

We want to find all the pixels related to defects in an uploaded photo. First, we need to figure out what kind of pictures will people upload. We talked to the founders of…

This is only a snippet of a Photography Article written by Fedor Kitashov

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