[R] Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion

[Project Page](https://wengflow.github.io/robust-e-nerf/)
[Paper](https://arxiv.org/abs/2309.08596)
[Code](https://github.com/wengflow/robust-e-nerf)

Abstract:

> Event cameras offer many advantages over standard cameras due to their distinctive principle of operation: low power, low latency, high temporal resolution and high dynamic range. Nonetheless, the success of many downstream visual applications also hinges on an efficient and effective scene representation, where Neural Radiance Field (NeRF) is seen as the leading candidate. Such promise and potential of event cameras and NeRF inspired recent works to investigate on the reconstruction of NeRF from …

abstract advantages applications cameras dynamic event latency low low power machinelearning nerf neural radiance field power representation standard success temporal