Neural Radiance Fields (NeRF) use neural networks to render detailed 3D scenes without explicit 3D model storage. However, they are limited in dynamic scenes. Shanghai Tech University proposes VideoRF, a real-time streaming solution for dynamic radiance fields on mobile devices. It leverages novel neural modeling and deferred rendering to enable seamless viewing experiences. The approach marks a significant advancement in neural scene modeling and immersive AR/VR applications.
Real-Time 3D Rendering on Mobile Devices Now Possible with VideoRF
What is VideoRF?
VideoRF is a cutting-edge neural modeling approach that enables real-time streaming and rendering of dynamic radiance fields on common mobile devices. This innovative method processes feature volumes as 2D feature streams, leveraging deferred rendering to effectively use classical video codecs and rasterization pipelines.
Benefits of VideoRF
VideoRF allows for the seamless and real-time rendering of dynamic radiance fields on mobile devices, providing a significant advancement in neural scene modeling and immersive VR/AR applications. It enables users to interactively engage with rendered scenes on various devices, including smartphones, tablets, laptops, and desktops, offering a new level of viewing experience.
Practical Applications
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Implementing AI Solutions
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