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Recently, significant progress has been made in the study of methods for 3Dreconstruction from multiple images using implicit neural representations,exemplified by the neural radiance field (NeRF) method. Such methods, which arebased on volume rendering, can model various light phenomena, and variousextended methods have been proposed to accommodate different scenes andsituations. However, when handling scenes with multiple glass objects, e.g.,objects in a glass showcase, modeling the target scene accurately has beenchallenging due to the presence of multiple reflection and refraction effects.Thus, this paper proposes a NeRF-based modeling method for scenes containing aglass case. In the proposed method, refraction and reflection are modeled usingelements that are dependent and independent of the viewer's perspective. Thisapproach allows us to estimate the surfaces where refraction occurs, i.e.,glass surfaces, and enables the separation and modeling of both direct andreflected light components. Compared to existing methods, the proposed methodenables more accurate modeling of both glass refraction and the overall scene.

REF$^2$-NeRF: Reflection and Refraction aware Neural Radiance Field