Addressing the Shape-Radiance Ambiguity in View-Dependent Radiance Fields
Preprint, 2022

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 ambigu- ity, 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.


Sverker Rasmuson

Embedded Electronics Systems and Computer Graphics

Erik Sintorn

Embedded Electronics Systems and Computer Graphics

Ulf Assarsson

Embedded Electronics Systems and Computer Graphics

Subject Categories

Computer and Information Science

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