NeRF++: Analyzing and Improving Neural Radiance Fields

15 Oct 2020 Kai Zhang Gernot Riegler Noah Snavely Vladlen Koltun

Neural Radiance Fields (NeRF) achieve impressive view synthesis results for a variety of capture settings, including 360 capture of bounded scenes and forward-facing capture of bounded and unbounded scenes. NeRF fits multi-layer perceptrons (MLPs) representing view-invariant opacity and view-dependent color volumes to a set of training images, and samples novel views based on volume rendering techniques... (read more)

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