# In-painting Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/in-painting
> Markdown URL: https://aitinkerers.org/technologies/in-painting.md
> Technology record last updated: 2026-03-17T17:57:04Z
> Generated: 2026-09-23T10:33:05Z

AI-driven image restoration that removes unwanted objects and reconstructs missing pixels with seamless textures.

In-painting utilizes deep learning architectures (like LaMa or Stable Diffusion) to fill masked image regions by analyzing surrounding spatial context. It replaces manual cloning with automated synthesis: removing power lines from landscapes, erasing watermarks, or restoring damaged historical photos. By leveraging Fast Fourier Transforms (FFTs) and generative adversarial networks, the tech maintains high-resolution global consistency even in complex textures. It is the core engine behind Adobe Photoshop’s Generative Fill and Google’s Magic Eraser.

- Official technology site: https://github.com/advimman/lama
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Hybrid AI/VFX workflow](https://montreal.aitinkerers.org/talks/rsvp_dME8XrE7GlI)

Hyprid VFX / AI pipeline. Generative AI used in a controlled way to enchance film footage. The "Hockeyville" project is a hybrid VFX production for a KRAFT commercial that utilizes local Generative AI to transform live-action urban footage into a frozen landscape. https://vimeo.com/1173898332

- Event context: AI Tinkerers Montreal - March Demo Night — 2026-03-24 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_dME8XrE7GlI

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