neural radiance field (NeRF) approaches learn the underlying 3D
representation of a scene and generate photo-realistic novel views with high
fidelity. However, most proposed settings concentrate on modelling a single
object or a single level of a scene. However, in the real world, we m
BungeeNeRF is introduced to address the issues of level-of-detail rendering in multi-scale Neural Radiance Fields in real-world 3D environments with drastically varying views and yields superior modeling results on various data sources.
Neural Radiance Field (NeRF) is a framework representing a 3D scene with MLP, achieving state-of-the-art photorealistic image renderings for view synthesis and expanding capabilities to generate views from dynamic scene representations with fewer images for training.