NeRF - Representing Scenes as Neural Radiance Fields for View Synthesis
We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views. We describe how to effectively optimize neural radiance fields to render photorealistic novel views of scenes with complicated geometry and appearance.