NeRF-SOS: Any-View Self-supervised Object Segmentation from Complex Real-World Scenes. (arXiv:2209.08776v3 [cs.CV] UPDATED)

Neural volumetric representations have shown the potential that Multi-layer
Perceptrons (MLPs) can be optimized with multi-view calibrated images to
represent scene geometry and appearance, without explicit 3D supervision.
Object segmentation can enrich many downstream applications based on the
learned radiance field. However, introducing hand-crafted segmentation to
define regions of interest in a complex real-world scene is non-trivial and
expensive as it acquires per view annotation. This paper carries out the
exploration of self-supervised learning for object segmentation using NeRF for …

arxiv nerf segmentation