Capturing Anisotropic SVBRDFs

Kaltheuner, Julian; Bode, Lukas; Klein, Reinhard

Capturing Anisotropic SVBRDFs

Files

063-070.pdf (4.97 MB)

Date

2021

Authors

Kaltheuner, Julian
Bode, Lukas
Klein, Reinhard

Publisher

The Eurographics Association

Abstract

In this work, we adapt and improve recent isotropic material estimation efforts to estimate spatially varying anisotropic materials with an additional Fresnel term using a variable set of input images and are able to handle any resolution. We combine an initial estimation network with an auto-encoder to fine-tune the decoding of latent embedded appearance parameters on the input images to produce finely detailed SVBRDFs. For this purpose, the training must be adapted so that the determination is possible on the basis of a small number of images that still capture as much reflective behavior of materials as possible. The resulting appearance parameters are capable of capturing and reconstructing complex spatially varying features in detail, but place increased demands on the input images.

        @inproceedings{10.2312:vmv.20211372
,
booktitle = {Vision, Modeling, and Visualization
},
editor = {Andres, Bjoern and Campen, Marcel and Sedlmair, Michael
},
title = {{Capturing Anisotropic SVBRDFs
}},
author = {Kaltheuner, Julian and 
Bode, Lukas and 
Klein, Reinhard
},
year = {2021
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-161-8
},
DOI = {10.2312/vmv.20211372
}
}