Latest Computer Vision Research Proposes ‘NeRFPlayer,’ A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields

Using Neural Radiance Fields (NeRF) to represent scenes has made strides in 3D reconstruction and analysis. After a brief training period, high-fidelity real-time depiction of real-world locations is possible. The rendering engine can accurately model situations as small as a cell and as large as a metropolis or even a black hole using just a […]

The post Latest Computer Vision Research Proposes ‘NeRFPlayer,’ A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields appeared first on MarkTechPost.

ai paper summary ai shorts applications artificial intelligence computer computer vision editors pick neural radiance fields representation research staff tech news technology usa vision vision research