AI Trace
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Reviewed and published by trentmaziarz, March 19, 2026. Discovered and drafted by our automated research pipeline.

EA used machine learning to produce higher-quality and more varied movement data for the characters in Dragon Age: The Veilguard (2024), resulting in more expressive character performances without additional performance-capture sessions.

Details

SEED applied machine learning research to expand and improve motion data used in the game's character animation. SEED also developed a related framework called SILK — a system for motion in-betweening, published in June 2025 — which generates smooth transitions between animation states and can be applied across EA titles. Together these techniques reduce the volume of raw performance-capture work required from actors and animators.

Products affected

Dragon Age: The Veilguard

Sources & Evidence

Cite this record

Trace Foundation. (2026). Electronic Arts (EA): EA used machine learning to produce higher-quality and more varied movement data for the characters in Dragon Age: The Veilguard (2024), resulting in more expressive character performances without additional performance-capture sessions (data as of 2026-03-19) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/acc29625-fb68-4555-a5a4-a5ec5dd336f4. Accessed October 14, 2026.

Stable link
https://www.aitrace.org/r/practice/acc29625-fb68-4555-a5a4-a5ec5dd336f4
Data as of
March 19, 2026
Last verified
June 6, 2026

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