Youngju presented his paper, “GLINT: Modeling Scene-Scale Transparency via Gaussian Radiance Transport” at CVPR 2026, held from June 3rd – 7th, 2026, in Denver, USA. The paper was presented as an oral at CVPR 2026 and selected as a Best Paper Award Candidate, corresponding to roughly the top 3.4% and 1.8% of accepted papers, respectively.
GLINT addresses the challenge of reconstructing real-world scenes containing transparent and reflective surfaces, where conventional 3D Gaussian Splatting often fails to preserve the physical presence of glass. By disentangling the visible interface from transmitted and reflected radiance, GLINT enables more faithful and physically consistent reconstruction of complex scenes with glass, windows, and specular objects.