54 citations · 126 across the 5 of their papers we have counts for
5 papers
RSMT: Real-time Stylized Motion Transition for Characters
Xiangjun Tang, Linjun Wu, He Wang +6
Styled online in-between motion generation has important application scenarios in computer animation and games. Its core challenge lies in the need to satisfy four critical require…
Octree-based hierarchical sampling optimization for the volumetric super-resolution of scientific data
Xinjie Wang, Maoquan Sun, Yundong Guo +4
When introducing physics-constrained deep learning solutions to the volumetric super-resolution of scientific data, the training is challenging to converge and always time-consumin…
Spatio-temporal Keyframe Control of Traffic Simulation using Coarse-to-Fine Optimization
Yi Han, He Wang, Xiaogang Jin
We present a novel traffic trajectory editing method which uses spatio-temporal keyframes to control vehicles during the simulation to generate desired traffic trajectories. By tak…
Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks
Xiaoyu Pan, Jiaming Mai, Xinwei Jiang +6
We present a learning algorithm that uses bone-driven motion networks to predict the deformation of loose-fitting garment meshes at interactive rates. Given a garment, we generate…
Real-time Controllable Motion Transition for Characters
Xiangjun Tang, He Wang, Bo Hu +4
Real-time in-between motion generation is universally required in games and highly desirable in existing animation pipelines. Its core challenge lies in the need to satisfy three c…