Neural Appearance Synthesis and Transfer (Unknown language)

In: Workshop on Material Appearance Modeling   ;  35-39  ;  2019

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Appearance acquisition is a challenging problem. Existing approaches require expensive hardware and acquisition times are long. Alternative ''in-the-wild'' few-shot approaches provide a limited reconstruction quality. Furthermore, there is a fundamental tradeoff between spatial resolution and the physical sample dimensions that can be captured in one measurement. In this paper, we investigate how neural texture synthesis and neural style transfer approaches can be applied to generate new materials with high spatial resolution from high quality SVBRDF measurements. We perform our experiments on a new database of measured SVBRDFs.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Spectral Rendering with the Bounded MESE and sRGB Data
Peters, Christoph / Merzbach, Sebastian / Hanika, Johannes / Dachsbacher, Carsten | 2019
7
Fresnel Equations Considered Harmful
Hoffman, Naty | 2019
13
Rendering Transparent Materials with a Complex Refractive Index: Semi-conductor and Conductor Thin Layers
Gerardin, Morgane / Holzschuch, Nicolas / Martinetto, Pauline | 2019
17
Comparative Study of Layered Material Models
Bati, Mégane / Pacanowski, Romain / Barla, Pascal | 2019
23
Estimating Homogeneous Data-driven BRDF Parameters from a Reflectance Map under Known Natural Lighting
Cooper, Victoria L. / Bieron, James C. / Peers, Pieter | 2019
27
What is the Reddening Effect and does it really exist?
Clausen, Olaf / Marroquim, Ricardo / Fuhrmann, Arnulph / Weigand, Holger | 2019
31
On Visual Attractiveness of Anisotropic Effect Coatings
Filip, Jiří / Kolafová, Martina | 2019
35
Neural Appearance Synthesis and Transfer
Mazlov, Ilya / Merzbach, Sebastian / Trunz, Elena / Klein, Reinhard | 2019