  We present Neural Mixtures of Planar Experts (NeurMiPs), a novel planar-based
scene representation for modeling geometry and appearance. NeurMiPs leverages a
collection of local planar experts in 3D space as the scene representation.
Each planar expert consists of the parameters of the local rectangular shape
representing geometry and a neural radiance field modeling the color and
opacity. We render novel views by calculating ray-plane intersections and
composite output colors and densities at intersected points to the image.
NeurMiPs blends the efficiency of explicit mesh rendering and flexibility of
the neural radiance field. Experiments demonstrate superior performance and
speed of our proposed method, compared to other 3D representations in novel
view synthesis.
