Deep image-based Adaptive Reflectance Sampling
Title: Deep image-based Adaptive Reflectance Sampling
DNr: Berzelius-2024-165
Project Type: LiU Berzelius
Principal Investigator: Wen Cao <>
Affiliation: Linköpings universitet
Duration: 2024-04-22 – 2024-11-01
Classification: 10201


The bidirectional reflectance distribution function (BRDF) plays a crucial role in the accurate representation and rendering of materials. However, obtaining the reflectance properties of a material can be both time-consuming and challenging. In this project, we introduce a novel framework which include a 12 layers encode and decode network that utilizes analytic BRDF models as a prior to inform and guide the measurement of BRDF.