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CANRIG: Cross-Attention Neural Face Rigging with Variable Local Control

CANRIG introduces a groundbreaking approach to facial rigging, significantly reducing the time and effort required for animators. By leveraging neural networks, it allows for both global and local control of facial expressions, streamlining the animation process for artists.

First reported 6 months ago • facial rigging neural networks animation

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Disney Research Studios Primary

CANRIG: Cross-Attention Neural Face Rigging with Variable Local Control

6 months ago Read source

Disney Research Studios 1% match

VQ-Style: Disentangling Style and Content in Motion with Residual Quantized Representations

6 months ago Read source

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