Zhenxiang Jiang

2 accepted papers

2025

C4D: 4D Made from 3D through Dual Correspondences

Shizun Wang, Zhenxiang Jiang, Xingyi Yang, Xinchao Wang

ICCV 2025poster

Recovering 4D from monocular video, which jointly estimates dynamic geometry and camera poses, is an inevitably challenging problem. While recent pointmap-based 3D reconstruction methods (e.g., DUSt3R) have made great progress in reconstructing static scenes, directly applying them to dynamic scenes…

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2025

GFlow: Recovering 4D World from Monocular Video

Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang

AAAI 2025technical

Recovering 4D world from monocular video is a crucial yet challenging task. Conventional methods usually rely on the assumptions of multi-view videos, known camera parameters, or static scenes. In this paper, we relax all these constraints and tackle a highly ambitious but practical task: With only…

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