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|Session Name:||Rethinking Your Performance Capture Pipeline with Machine Learning|
|Company Name(s):||ALICE Studios, Ubisoft|
|Track / Format:||Visual Arts|
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|Overview:||Traditional motion capture and post-processing has evolved over the years with improved software and practices, but the steps involved to produce clean animation are still accomplished through a hybrid of automated tasks and manual intervention. This talk will explore some of the latest advancements in performance capture at Ubisoft's ALICE studios and focus on improvements to their shoot floor and process time. With the research coming from Ubisoft La Forge into developing neural networks to automatically clean up captured data, they are close to providing a fully automated solution to deliver animation to the client. The presentation will look at the implementation and challenges involved in transforming the traditional performance capture pipeline into one that encapsulates these new research endeavors and the speaker will provide practical advice on how to use machine learning research in a data pipeline through relating the studio's experiences with the process. The talk will also explore some new technologies and approaches that are improving their capture studio that all contribute to a fully automated motion capture processing solution.|