3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation
This work addresses the need for accessible and efficient 4D visualization tools for researchers and developers in computer graphics and AI.
The paper tackles the problem of creating interactive, editable 4D worlds from static images and text, resulting in a framework that enables real-time, user-driven exploration of complex 4D environments.
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/.