3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866909898511482880 |
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| author | He, Yunhong Yuan, Zhengqing Tu, Zhengzhong Ye, Yanfang Sun, Lichao |
| author_facet | He, Yunhong Yuan, Zhengqing Tu, Zhengzhong Ye, Yanfang Sun, Lichao |
| contents | We introduce 3D4D, an interactive 4D visualization framework that integrates WebGL with Supersplat rendering. It transforms static images and text into coherent 4D scenes through four core modules and employs a foveated rendering strategy for efficient, real-time multi-modal interaction. This framework enables adaptive, user-driven exploration of complex 4D environments. The project page and code are available at https://yunhonghe1021.github.io/NOVA/. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_08536 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | 3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation He, Yunhong Yuan, Zhengqing Tu, Zhengzhong Ye, Yanfang Sun, Lichao Computer Vision and Pattern Recognition We introduce 3D4D, an interactive 4D visualization framework that integrates WebGL with Supersplat rendering. It transforms static images and text into coherent 4D scenes through four core modules and employs a foveated rendering strategy for efficient, real-time multi-modal interaction. This framework enables adaptive, user-driven exploration of complex 4D environments. The project page and code are available at https://yunhonghe1021.github.io/NOVA/. |
| title | 3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2511.08536 |