  Point-Based Neural Rendering (PBNR), i.e., the 3D Gaussian Splatting-family
algorithms, emerges as a promising class of rendering techniques, which are
permeating all aspects of society, driven by a growing demand for real-time,
photorealistic rendering in AR/VR and digital twins. Achieving real-time PBNR
on mobile devices is challenging.
  This paper proposes RTGS, a PBNR system that for the first time delivers
real-time neural rendering on mobile devices while maintaining human visual
quality. RTGS combines two techniques. First, we present an efficiency-aware
pruning technique to optimize rendering speed. Second, we introduce a Foveated
Rendering (FR) method for PBNR, leveraging humans' low visual acuity in
peripheral regions to relax rendering quality and improve rendering speed. Our
system executes in real-time (above 100 FPS) on Nvidia Jetson Xavier board
without sacrificing subjective visual quality, as confirmed by a user study.
The code is open-sourced at [https://github.com/horizon-research/Fov-3DGS].
