![]() Laika teamed with Intel to build tools based on the oneAPI programming model.Cleaning up unwanted lines is currently a manual and repetitive process, making it an ideal target for machine learning.Creating a modern stop-motion feature film is more complex than ever Laika’s latest project, Missing Link, involved more than 106,000 different 3D-printed faces.If all goes according to plan, you will enjoy the product of Laika’s efforts in the studio’s next film. At the same time, Laika wants to preserve the characteristic imperfections of its handmade artwork, leaving artists in charge of what goes and what stays. These artifacts are inherent in the way Laika builds its characters, so the AI has to be trained to identify the offending lines, trace them through a process called rotoscoping, and track them. The studio is training neural networks to detect and help correct lines and other artifacts on the faces of its puppets during post-production. So, Laika teamed up with Intel to create software tools able to save time and keep its animators focused on their craft. Needless to say, the company has plenty of repetitive tasks that could benefit from acceleration. Laika, the stop-motion animation studio best known for its feature films Coraline, ParaNorman, The Boxtrolls, Kubo and the Two Strings, and Missing Link, captures and edits tens of thousands of frames for each of its movies. ![]() This article is part of the Technology Insight series, made possible with funding from Intel.ĪI is really, really good at automating repetitive tasks. ![]()
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