  We present a method for reconstructing high-quality meshes of large unbounded
real-world scenes suitable for photorealistic novel view synthesis. We first
optimize a hybrid neural volume-surface scene representation designed to have
well-behaved level sets that correspond to surfaces in the scene. We then bake
this representation into a high-quality triangle mesh, which we equip with a
simple and fast view-dependent appearance model based on spherical Gaussians.
Finally, we optimize this baked representation to best reproduce the captured
viewpoints, resulting in a model that can leverage accelerated polygon
rasterization pipelines for real-time view synthesis on commodity hardware. Our
approach outperforms previous scene representations for real-time rendering in
terms of accuracy, speed, and power consumption, and produces high quality
meshes that enable applications such as appearance editing and physical
simulation.
