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

Abstract

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.