Image Inpainting in Python — ELI5

Imagine you have a photograph and someone spills coffee right in the middle of it. The coffee covers part of the picture, and you need to fix it. Image inpainting is like having a magic eraser that not only removes the stain but also fills in what was hidden underneath — the missing sky, the covered-up face, the hidden part of the building.

The clever part is that the computer does not actually know what was behind the stain. Instead, it looks at the parts of the picture that are still visible and guesses what the hidden area should look like. If there is grass on the left and grass on the right, it fills the middle with grass too. If there is a brick wall pattern, it continues the pattern seamlessly.

Think of it like a jigsaw puzzle with a few pieces missing. You look at the surrounding pieces — their colors, patterns, and shapes — and figure out what the missing pieces should look like. The computer does the same thing, just with millions of tiny colored dots instead of puzzle pieces.

Modern inpainting goes even further. You can paint over an object in a photo — say, a parked car in front of a building — and the computer will replace the car with whatever should logically be there: more sidewalk, more building wall, maybe some bushes. It understands context, not just patterns.

With diffusion-based inpainting, you can even tell the computer what to put in the empty space. Erase a person’s hat and type “a crown” — the model will paint a crown that matches the lighting, angle, and style of the rest of the photo.

One thing to remember: Image inpainting lets you erase parts of a photo and have the computer intelligently fill in the gaps by understanding the surrounding context — like a puzzle-solving artist working from clues.