4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video
We introduce 4DGS360, a diffusion-free framework for 360$^{\circ}$ dynamic object reconstruction from casual monocular video. Existing methods often fail to reconstruct consistent 360$^{\circ}$ geometry, as their heavy reliance on 2D-native priors causes initial points to overfit to visible surface in each training view. 4DGS360 addresses this challenge through a advanced 3D-native initialization that mitigates the geometric ambiguity of occluded regions. Our proposed 3D tracker, AnchorTAP3D, produces reinforced 3D point trajectories by leveraging confident 2D track points as anchors, suppressing drift and providing reliable initialization that preserves geometry in occluded regions. This...
| Authors | Jae Won Jang, Yeonjin Chang, Wonsik Shin et al. |
|---|---|
| Primary category | cs.CV |
| Published | 23 March 2026 |
| Last updated at source | 22 July 2026 |
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- mipal/iPhone360-4dgs360Dataset · cited by
- mipal/iPhone360Dataset · cited by
Models and datasets referencing this paper
- mipal/iPhone360Dataset
- mipal/iPhone360-4dgs360Dataset
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