  We present a method for handling view-dependent information in radiance
fields to help with convergence and quality of 3D reconstruction. Radiance
fields with view-dependence suffers from the so called shape-radiance
ambiguity, which can lead to incorrect geometry given a high angular resolution
of view-dependent colors. We propose the addition of a difference plane in
front of each camera, with the purpose of separating view-dependent and
Lambertian components during training. We also propose an additional step where
we train, but do not store, a low-resolution view-dependent function that helps
to isolate the surface if such a separation is proven difficult. These
additions have a small impact on performance and memory usage but enables
reconstruction of scenes with highly specular components without any other
explicit handling of view-dependence such as Spherical Harmonics.
