A unified training framework for mesh-based ML surrogates in CFD improves accuracy and long-horizon stability by enforcing spatial derivative consistency via multi-node prediction, using temporal cross-attention correction, and adding 3D rotary positional embeddings.
MeshGraphNetRP: Improving Generalization of GNN-based Cloth Simulation , volume =
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A deployable Unreal Engine plugin for speech-driven 3D facial animation using ARKit blendshapes, created by converting the MEAD dataset and retraining FaceDiffuser and ProbTalk3D-X, evaluated via user study against MetaHuman and Audio2Face.
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Mesh Based Simulations with Spatial and Temporal awareness
A unified training framework for mesh-based ML surrogates in CFD improves accuracy and long-horizon stability by enforcing spatial derivative consistency via multi-node prediction, using temporal cross-attention correction, and adding 3D rotary positional embeddings.
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Deploying Speech-Driven 3D Facial Animation in Unreal Engine for Production-Ready Digital Humans
A deployable Unreal Engine plugin for speech-driven 3D facial animation using ARKit blendshapes, created by converting the MEAD dataset and retraining FaceDiffuser and ProbTalk3D-X, evaluated via user study against MetaHuman and Audio2Face.