GRCVFeb 2, 2022

Eikonal Fields for Refractive Novel-View Synthesis

arXiv:2202.00948v348 citations
Originality Highly original
AI Analysis

This addresses the challenge of novel-view synthesis for refractive and reflective objects, which is important for applications in computer graphics and vision, representing a novel method for a known bottleneck.

The paper tackles the problem of generating novel-view images from 2D images of refractive and reflective objects by optimizing a 3D-varying Index of Refraction field and tracing light through it using eikonal light transport laws, resulting in a method that handles complex light bending effects.

We tackle the problem of generating novel-view images from collections of 2D images showing refractive and reflective objects. Current solutions assume opaque or transparent light transport along straight paths following the emission-absorption model. Instead, we optimize for a field of 3D-varying Index of Refraction (IoR) and trace light through it that bends toward the spatial gradients of said IoR according to the laws of eikonal light transport.

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