activity
20202024
most citedReal-time Controllable Motion Transition for Characters

54 citations · 94 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024★ 2 cited

RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture

Xiaoyu Pan, Bowen Zheng, Xinwei Jiang +4

Optical motion capture (MoCap) is the "gold standard" for accurately capturing full-body motions. To make use of raw MoCap point data, the system labels the points with correspondi…

cs.CV2024★ 7 cited

Decoupling Contact for Fine-Grained Motion Style Transfer

Xiangjun Tang, Linjun Wu, He Wang +7

Motion style transfer changes the style of a motion while retaining its content and is useful in computer animations and games. Contact is an essential component of motion style tr…

cs.CV2024

SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents

Wei Xiang, Haoteng Yin, He Wang +1

Pedestrian trajectory prediction is the key technology in many applications for providing insights into human behavior and anticipating human future motions. Most existing empirica…

cs.CV2023★ 19 cited

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…

cs.GR2022★ 2 cited

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…

cs.GR2022★ 54 cited

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…