NeARportation: A Remote Real-time Neural Rendering Framework

Abstract

While presenting a photorealistic appearance plays a major role in immersion in Augmented Virtuality environment, displaying that of real objects remains a challenge. Recent developments in photogrammetry have facilitated the incorporation of real objects into virtual space. However, reproducing complex appearances, such as subsurface scattering and transparency, still requires a dedicated environment for measurement and possesses a trade-off between rendering quality and frame rate. Our NeARportation framework combines server–client bidirectional communication and neural rendering to resolve these trade-offs. Neural rendering on the server receives the client’s head posture and generates a novel-view image with realistic appearance reproduction that is streamed onto the client’s display. By applying our framework to a stereoscopic display, we confirm that it can display a high-fidelity appearance on full-HD stereo videos at 35-40 frames per second (fps) according to the user’s head motion.