activity
20222024
most citedReal-time Controllable Motion Transition for Characters

54 citations · 91 across the 6 of their papers we have counts for

collaborators

6 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.GR2024

DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Models

Yuqing Zhang, Yuan Liu, Zhiyu Xie +8

2D diffusion model, which often contains unwanted baked-in shading effects and results in unrealistic rendering effects in the downstream applications. Generating Physically Based…

cs.GR2023★ 9 cited

A Locality-based Neural Solver for Optical Motion Capture

Xiaoyu Pan, Bowen Zheng, Xinwei Jiang +8

We present a novel locality-based learning method for cleaning and solving optical motion capture data. Given noisy marker data, we propose a new heterogeneous graph neural network…

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★ 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…