Xuankai Zhang — accepted AI-conference papers

2026

Learning Explicit Continuous Motion Representation for Dynamic Gaussian Splatting from Monocular Videos

Xuankai Zhang, Junjin Xiao, Shangwei Huang, Wei-shi Zheng, Qing Zhang

CVPR 2026

We present an approach for high-quality dynamic Gaussian Splatting from monocular videos. To this end, we in this work go one step further beyond previous methods to explicitly model continuous position and orientation deformation of dynamic Gaussians, using an SE(3) B-spline motion bases with a com

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2025

Dynamic Gaussian Splatting from Defocused and Motion-blurred Monocular Videos

Xuankai Zhang, Junjin Xiao, Qing Zhang

NeurIPS 2025poster

This paper presents a unified framework that allows high-quality dynamic Gaussian Splatting from both defocused and motion-blurred monocular videos. Due to the significant difference between the formation processes of defocus blur and motion blur, existing methods are tailored for either one of them…

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