NeRF: Neural Radiance Fields - AI Research Graph - Crossminds
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NeRF: Neural Radiance Fields - AI Research Graph
First introduced by Mildenhall et al. in 2020, NeRF (Neural Radiance Fields) is a state-of-the-art method that synthesizes novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views. This research graph maps new papers derived from NeRF over the past year and important prior work on Neural Rendering.
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Zhiqin Chen, Learning Implicit Fields for Generative Shape Modeling. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019

Daniel Rebain, DeRF: Decomposed Radiance Fields. ArXiv 2020