E-4DGS: High-Fidelity Dynamic Reconstruction from the Multi-view Event Cameras
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908499921862656 |
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| author | Feng, Chaoran Tang, Zhenyu Yu, Wangbo Pang, Yatian Zhao, Yian Zhao, Jianbin Yuan, Li Tian, Yonghong |
| author_facet | Feng, Chaoran Tang, Zhenyu Yu, Wangbo Pang, Yatian Zhao, Yian Zhao, Jianbin Yuan, Li Tian, Yonghong |
| contents | Novel view synthesis and 4D reconstruction techniques predominantly rely on RGB cameras, thereby inheriting inherent limitations such as the dependence on adequate lighting, susceptibility to motion blur, and a limited dynamic range. Event cameras, offering advantages of low power, high temporal resolution and high dynamic range, have brought a new perspective to addressing the scene reconstruction challenges in high-speed motion and |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_09912 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | E-4DGS: High-Fidelity Dynamic Reconstruction from the Multi-view Event Cameras Feng, Chaoran Tang, Zhenyu Yu, Wangbo Pang, Yatian Zhao, Yian Zhao, Jianbin Yuan, Li Tian, Yonghong Computer Vision and Pattern Recognition Novel view synthesis and 4D reconstruction techniques predominantly rely on RGB cameras, thereby inheriting inherent limitations such as the dependence on adequate lighting, susceptibility to motion blur, and a limited dynamic range. Event cameras, offering advantages of low power, high temporal resolution and high dynamic range, have brought a new perspective to addressing the scene reconstruction challenges in high-speed motion and |
| title | E-4DGS: High-Fidelity Dynamic Reconstruction from the Multi-view Event Cameras |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2508.09912 |