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Clinton Ansun Mo

2 accepted papers

2026

Pb4U-GNet: Resolution-Adaptive Garment Simulation via Propagation-before-Update Graph Network

AAAI 2026technical

Garment simulation is fundamental to various applications in computer vision and graphics, from virtual try-on to digital human modelling. However, conventional physics-based methods remain computationally expensive, hindering their application in time-sensitive scenarios. While graph neural network

Cited by 0SourcePDFScholar
2025

PUMPS: Skeleton-Agnostic Point-based Universal Motion Pre-Training for Synthesis in Human Motion Tasks

ICCV 2025poster

Motion skeletons drive 3D character animation by transforming bone hierarchies, but differences in proportions or structure make motion data hard to transfer across skeletons, posing challenges for data-driven motion synthesis. Temporal Point Clouds (TPCs) offer an unstructured, cross-compatible mot…