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 initialization, combined with optimization, yields coherent 360^{circ} 4D reconstructions. We further present iPhone360, a new benchmark where test cameras are placed up to 135^{circ} apart from training views, enabling 360^{circ} evaluation that existing datasets cannot provide. Experiments show that 4DGS360 achieves state-of-the-art performance on the iPhone360, iPhone, and DAVIS datasets, both qualitatively and quantitatively.
69c33fb495b48f16a3007745
Jae Won Jang
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2026-03-25T10:50:46.203Z
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/avatars/c29ab907fed2be7e68359ed977ea9af5.svg
jang
jaewon040
user
jaewon040
69c33fb495b48f16a3007746
Yeonjin Chang
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2026-03-26T14:04:16.850Z
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Yeonjin Chang
yeonjinchang
user
yeonjinchang
69c33fb495b48f16a3007747
Wonsik Shin
69c33fb495b48f16a3007748
Juhwan Cho
69c33fb495b48f16a3007749
Nojun Kwak
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 initialization, combined with optimization, yields coherent 360^{circ} 4D reconstructions. We further present iPhone360, a new benchmark where test cameras are placed up to 135^{circ} apart from training views, enabling 360^{circ} evaluation that existing datasets cannot provide. Experiments show that 4DGS360 achieves state-of-the-art performance on the iPhone360, iPhone, and DAVIS datasets, both qualitatively and quantitatively.
4DGS360 presents a diffusion-free approach for 360° dynamic object reconstruction using 3D-native initialization and a 3D tracker called AnchorTAP3D to improve geometric consistency and handle occlusions.
3D-native initialization 3D tracker AnchorTAP3D 360° dynamic object reconstruction diffusion-free framework geometric ambiguity occluded regions 3D point trajectories coherent 360° 4D reconstructions