NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections from NeRF-W on YouTube.

Description

Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth. We present NeRF-W, a system for 3D reconstruction of landmarks from unconstrained, "in-the-wild" photo collections. Given a set of posed photos, NeRF-W is able to disentangle the shared, underlying 3D geometry from transient objects and photometric variations, producing a consistent, photorealistic scene representation that can be rendered from novel viewpoints.

References

Martin-Brualla, R., Radwan, N., Sajjadi, M. S., Barron, J. T., Dosovitskiy, A., & Duckworth, D. (2021). Nerf in the wild: Neural radiance fields for unconstrained photo collections. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7210-7219).

Website

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections: https://nerf-w.github.io/