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AI-Assistance in Character Posing: How It Works in Cascadeur

This article details the development of Cascadeur's AutoPosing tool, from an initial single complex neural network to a refined system of 12 simpler networks and heuristic algorithms. It explains how each body part is controlled to give animators maximum predictability and control, ultimately enabling fast pose creation without sacrificing artistic freedom.

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AI-Assistance in Character Posing: How It Works in Cascadeur
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

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Key points

  • Early AutoPosing used one complex neural network, which was unpredictable and frustrating for animators.
  • After over a year, the team replaced it with 12 smaller, specialized neural networks and heuristic algorithms.
  • Each network handles a specific region (e.g., wrists, pelvis, spine), providing predictable behavior.
  • The system allows animators to set poses with few controllers and then refine every joint manually.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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