ShinyNeRF: Digitizing Anisotropic Appearance

This paper introduces ShinyNeRF, a novel framework for 3D digitization that improves the modeling of anisotropic specular surfaces, like brushed metals, which existing NeRF methods struggle with. This is significant because it enhances the realism of 3D models, particularly for cultural heritage preservation and other applications where accurate material representation is crucial. The ability to estimate and edit material properties provides a valuable advantage.

• •Introduces ShinyNeRF, a new method for digitizing objects with anisotropic specular reflections.
• •Improves upon existing NeRF methods by accurately modeling surfaces like brushed metals.
• •Allows for the estimation and editing of material properties.
• •Achieves state-of-the-art performance.