DeRF: Decomposed Radiance Fields

Understand

With the advent of Neural Radiance Fields (NeRF), neural networks can now render novel views of a 3D scene with quality that fools the human eye.

• Yet, generating these images is very computationally intensive, limiting their applicability in practical scenarios.
• In this paper, we propose a technique based on spatial decomposition capable of mitigating this issue.
• Our key observation is that there are diminishing returns in employing larger (deeper and/or wider) networks.