We present DrivingGaussian an efficient and effective framework for surrounding dynamic
autonomous driving scenes. For complex scenes with moving objects we first sequentially …

Neural rendering methods have significantly advanced photo-realistic 3D scene rendering
in various academic and industrial applications. The recent 3D Gaussian Splatting method …

Existing NeRF-based methods for large scene reconstruction often have limitations in visual
quality and rendering speed. While the recent 3D Gaussian Splatting works well on small …

The advancement of real-time 3D scene reconstruction and novel view synthesis has been
significantly propelled by 3D Gaussian Splatting (3DGS). However, effectively training large …

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …

High-quality large-scale scene rendering requires a scalable representation and accurate
camera poses. This research combines tile-based hybrid neural fields with parallel …

We present an end-to-end system for the high-fidelity capture, model reconstruction, and
real-time rendering of walkable spaces in virtual reality using neural radiance fields. To this …

Abstract Neural Radiance Fields (NeRFs) can be dramatically accelerated by spatial grid
representations. However, they do not explicitly reason about scale and so introduce …

Existing neural radiance fields (NeRF) methods for large-scale scene modeling require days
of training using multiple GPUs, hindering their applications in scenarios with limited …

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …