Maurice Chu — accepted AI-conference papers

2025

RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data

Wenchao Ma, Dario Michael Kneubuehler, Maurice Chu, Ian Sachs, Haomiao Jiang, Sharon X Huang

NeurIPS 2025poster

In this paper, we present RigAnyFace (RAF), a scalable neural auto-rigging framework for facial meshes of diverse topologies, including those with multiple disconnected components. RAF deforms a static neutral facial mesh into industry-standard FACS poses to form an expressive blendshape rig. Deform…

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2024

An Intrinsic Vector Heat Network

Alexander Gao, Maurice Chu, Mubbasir Kapadia, Ming Lin, Hsueh-Ti Derek Liu

ICML 2024poster

Vector fields are widely used to represent and model flows for many science and engineering applications. This paper introduces a novel neural network architecture for learning tangent vector fields that are intrinsically defined on manifold surfaces embedded in 3D. Previous approaches to learning v…

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