English

3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation

Computer Vision and Pattern Recognition 2025-11-12 v1

Abstract

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/.

Keywords

Cite

@article{arxiv.2511.08536,
  title  = {3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation},
  author = {Yunhong He and Zhengqing Yuan and Zhengzhong Tu and Yanfang Ye and Lichao Sun},
  journal= {arXiv preprint arXiv:2511.08536},
  year   = {2025}
}

Comments

Accepted by AAAI 2026 Demo Track

R2 v1 2026-07-01T07:32:38.682Z