FaciesGAN: a conditional GAN framework for realistic facies scenario generation as an efficient alternative to multiple-point statistics

DSpace (Federal University of Santa Catarina) 2026 Thesis

Authors: Yineth Viviana Camacho-De Angulo
Cited by: 0

Abstract

Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2026.

Fields of Study & Subjects

Generative Adversarial Networks and Image Synthesis Face recognition and analysis Geological Modeling and Analysis

Publication details

Journal / source
DSpace (Federal University of Santa Catarina)
Publication date
1 January 2026
Language
EN
Document type
Thesis