Procedural 3D Terrain Generation using Generative Adversarial Networks

Panagiotou, Emmanouil; Charou, Eleni

doi:10.48550/arxiv.2010.06411

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State Of the Art 21 Procedural Modeling1

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2024

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“…In this way, it can capture their realism, so that they obtain compelling results. Panagiotou et al [9] used a combination of GANs and conditional GANs to create images that resemble satellite images and Digital Elevation Models that can match the output of the first GAN. The approach followed in this thesis can be included in this type of procedure, as it involves using a DCGAN, a type of generative model that has shown great success in generating high-quality images.…”

Section: State Of the Art 21 Procedural Modelingmentioning

confidence: 99%