AI Trace
Creative GenerationAugments Human LaborVerified

Reviewed and published by trentmaziarz, March 20, 2026. Discovered and drafted by our automated research pipeline.

Embark developed and open-sourced a texture synthesis tool in Rust that generates new textures from example images using a multiresolution stochastic algorithm, enabling artists to create variations from a single source texture.

Details

The texture-synthesis repository (~1,700 GitHub stars, now archived) implements a non-neural algorithmic approach where "every pixel asks 'if these are my neighbors, what is my color?'" based on example images. Tech artist Anastasia Opara and programmer Tomasz Stachowiak built it, generating approximately 3,000 images from ~150 style examples with 6 guide maps. Each image took ~20 seconds to generate. The tool supports guide maps, coordinate transforms, and multi-threading. While now archived, it demonstrates Embark's early investment in AI-adjacent creative tools and was used in their internal content pipeline.

Products affected

Internal art pipeline

Sources & Evidence

Cite this record

Trace Foundation. (2026). Embark Studios: Embark developed and open-sourced a texture synthesis tool in Rust that generates new textures from example images using a multiresolution stochastic algorithm, enabling artists to create variations from a single source texture (data as of 2026-03-20) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/7181b4f6-d258-458f-a46d-357731779548. Accessed October 14, 2026.

Stable link
https://www.aitrace.org/r/practice/7181b4f6-d258-458f-a46d-357731779548
Data as of
March 20, 2026
Last verified
March 24, 2026

How to cite AI Trace

Other practices by Embark Studios

Have evidence about Embark Studios's AI practices? Submit a report.

Report a Sighting →