Unbounded 3D Scene

Unbounded 3D scene representation focuses on creating and manipulating realistic 3D environments without predefined spatial limits, aiming for high-fidelity rendering and efficient processing. Current research heavily utilizes neural radiance fields (NeRFs) and their variants, often incorporating Gaussian splatting, implicit neural point clouds, and diffusion models to achieve efficient scene representation and novel view synthesis. These advancements are crucial for applications like autonomous navigation, virtual and augmented reality, and large-scale scene understanding, improving the realism and efficiency of 3D modeling and rendering in diverse contexts.