Editing images with machine learning
October 16, 2018 — September 2, 2024
Assumed audience:
No-one, now. This is comically outdated.
Why are we doing anything manually anymore? There is AI to do all the repetitive menial stuff for images, and manual repetitive image processing is the unambiguous great triumph of modern AI.
Much of this is outdated, since it predates the stable-diffusion explosion. For bleeding-edge image-diffusion stuff see the appropriate page.
There is a brief efflorescence of quirky small ML companies producing these apps before they get bought up by Adobe.
1 Background removal
Background removal is something I need in practice often. Clipping Magic is fun and removes backgrounds using AI plus a nicely designed user interface.
Competitor removebg does something similar and is slightly cheaper, although there is less user configurability.
croppola does content-aware cropping.
2 cleanup.picture
- Cleanup.pictures Remove objects, people, text, and defects from any picture
3 Letsenhance
Famously viral in recent times, Let’s Enhance uses AI super-resolution and colour enhancement to make images bigger and shinier. Might also salvage something usable from Facebook’s savage compression and downsampling.
4 Vance
5 Hotpot
6 Miscellaneous GIMP addons
Kritik Soman’s GIMP-ML plugins bring some cute ML tricks to open-source image editor GIMP. I love the idea, but it is quite unwieldy.