Point-NeRF: Point-based Neural Radiance Fields

Qiangeng Xu, Zexiang Xu, Julien Philip et al.

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 520 citations

Volumetric neural rendering methods like NeRF [34] generate high-quality view synthesis results but are optimized per-scene leading to prohibitive reconstruction time. On the other hand, deep multi-view stereo methods can quickly reconstruct scene geometry via direct network inference. Point-NeRF combines the advantages of these two approaches by using neural 3D point clouds, with associated neural features, to model a radiance field. Point-NeRF can be rendered efficiently by aggregating neural point features near scene surfaces, in a ray marching-based rendering pipeline. Moreover, Point-NeR…

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