ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context

arXiv:2310.09965v3 Announce Type: replace
Abstract: Neural Radiance Fields (NeRFs) have recently emerged as a popular option for photo-realistic object capture due to their ability to faithfully capture high-fidelity volumetric content even from handheld video input. Although much research has been devoted to efficient optimization leading to real-time training and rendering, options for interactive editing NeRFs remain limited. We present a very simple but effective neural network architecture that is fast and efficient while maintaining a low memory footprint. This architecture …

arxiv context cs.cv cs.gr editing image nerf type