Making Gabor Noise Fast and Normalized - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Making Gabor Noise Fast and Normalized

Résumé

Gabor Noise is a powerful procedural texture synthesis technique, but it has two major drawbacks: It is costly due to the high required splat density and not always predictable because properties of instances can differ from those of the process. We bench performance and quality using alternatives for each Gabor Noise ingredient: point distribution, kernel weighting and kernel shape. For this, we introduce 3 objective criteria to measure process convergence, process stationarity, and instance stationarity. We show that minor implementation changes allow for 17-24x speed-up with same or better quality.

Mots clés

Fichier principal
Vignette du fichier
short1034_CRC.pdf (1.27 Mo) Télécharger le fichier
eg-suppl.pdf (7.6 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02104389 , version 1 (19-04-2019)

Identifiants

Citer

Vincent Tavernier, Fabrice Neyret, Romain Vergne, Joëlle Thollot. Making Gabor Noise Fast and Normalized. Eurographics 2019 - 40th Annual Conference of the European Association for Computer Graphics, May 2019, Gênes, Italy. pp.37-40, ⟨10.2312/egs.20191009⟩. ⟨hal-02104389⟩
594 Consultations
577 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More