Specularity in NeRFs: A Comparative Study of Ref-NeRF and NRFF
Albert Barreiro, Roger Marí, Rafael Redondo, Gloria Haro, Carles Bosch, David Berga
published
2025-03-12
reference
Albert Barreiro, Roger Marí, Rafael Redondo, Gloria Haro, Carles Bosch, and David Berga, Specularity in NeRFs: A Comparative Study of Ref-NeRF and NRFF, Image Processing On Line, 15 (2025), pp. 32–44. https://doi.org/10.5201/ipol.2025.562

Communicated by Pablo Musé
Demo edited by Albert Barreiro

Abstract

Neural Radiance Fields (NeRF) have emerged as a leading technology for 3D digitization, especially for their high accuracy and intricate detailing. Despite their advancements, early NeRF models struggle to handle reflections on specular surfaces effectively. To address this, alternative approaches such as Ref-NeRF and NRFF were proposed to improve fidelity in representing this physical phenomenon. This study compares these two models, providing an analysis of their effectiveness and limitations in dealing with complex specularities. We demonstrate that both methods struggle with inter-reflections and tend to model anisotropic specularities by altering the predicted surface normals.

This is an MLBriefs article, the source code has not been reviewed!
The original source codes are available here: Ref-NeRF and NRFF (last checked 2025/02/06).

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