Simple-RF: Regularizing Sparse Input Radiance Fields with Simpler Solutions

Understand

Neural Radiance Fields (NeRF) show impressive performance in photo-realistic free-view rendering of scenes.

• Recent improvements on the NeRF such as TensoRF and ZipNeRF employ explicit models for faster optimization and rendering, as compared to the NeRF that employs an implicit representation.
• However, both implicit and explicit radiance fields require dense sampling of images in the given scene.
• Their performance degrades significantly when only a sparse set of views is available.