A Survey on Procedural Modelling for Virtual Worlds

By Ruben Michaël Smelik, Tim Tutenel, Rafael Bidarra, Bedrich Benes. Computer graphics forum (Print), 2014

322 citations recorded by the source corpus.

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PolyGen: An Autoregressive Generative Model of 3D Meshes (2020, methodology): “Existing approaches to 3D object synthesis rely on the recombination and deformation of template models (Kaloger-akis et al., 2012; Chaudhuri et al., 2011), or a parametric shape family (Smelik et al., 2014).”
An improved LOD specification for 3D building models (2016, methodology): “…2014), procedural modelling (Wonka et al., 2003; Müller et al., 2006; Kelly and Wonka, 2011; Müller Arisona et al., 2013; Tsiliakou et al., 2014; Smelik et al., 2014), conversion from BIM and computer graphics models (Donkers et al., 2015; Kumar et al., 2016), and generation from 2D drawings…”
A Review on Virtual Reality Skill Training Applications (2021, background): “Related works include Smelik et al. (2011), Smelik et al. (2014), Freiknecht and Effelsberg (2017), Lang et al. (2018), and Li et al. (2020).”
Procedural Modeling Using Autoencoder Networks (2015, background): “A wide variety of object categories can be modeled using PM including organic shapes such as trees and animated characters as well as man-made shapes such as buildings, furniture, and jewelry [40].”
Applications of 3D City Models: State of the Art Review (2015, methodology): “Data used for these purposes are frequently procedurally generated [23,24,177].”