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20212026
most citedInterpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention

2 citations · 6 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.GR2026

Physics-Based Motion Tracking of Contact-Rich Interacting Characters

Xiaotang Zhang, Ziyi Chang, Qianhui Men +1

Motion tracking has been an important technique for imitating human-like movement from large-scale datasets in physics-based motion synthesis. However, existing approaches focus on…

cs.GR2025★ 1 cited

Motion In-Betweening for Densely Interacting Characters

Xiaotang Zhang, Ziyi Chang, Qianhui Men +1

Motion in-betweening is the problem to synthesize movement between keyposes. Traditional research focused primarily on single characters. Extending them to densely interacting char…

cs.GR2025

Real-time and Controllable Reactive Motion Synthesis via Intention Guidance

Xiaotang Zhang, Ziyi Chang, Qianhui Men +1

We propose a real-time method for reactive motion synthesis based on the known trajectory of input character, predicting instant reactions using only historical, user-controlled mo…

cs.GR2022★ 1 cited

Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embedding

Aman Goel, Qianhui Men, Edmond S. L. Ho

Synthesizing multi-character interactions is a challenging task due to the complex and varied interactions between the characters. In particular, precise spatiotemporal alignment b…

cs.GR2021

GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction

Qianhui Men, Hubert P. H. Shum, Edmond S. L. Ho +1

Creating realistic characters that can react to the users' or another character's movement can benefit computer graphics, games and virtual reality hugely. However, synthesizing su…