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We propose a method to procedurally generate a familiar yet complex human artifact: the city. We are not trying to reproduce existing cities, but to generate artificial cities that are convincing and plausible by capturing developmental…

Graphics · Computer Science 2025-07-28 Thomas Lechner , Ben Watson , Uri Wilensky , Martin Felsen

Text-to-level generation aims to translate natural language descriptions into structured game levels, enabling intuitive control over procedural content generation. While prior text-to-level generators are typically limited to a single game…

Artificial Intelligence · Computer Science 2026-04-01 In-Chang Baek , Jiyun Jung , Geum-Hwan Hwang , Sung-Hyun Kim , Kyung-Joong Kim

We target a 3D generative model for general natural scenes that are typically unique and intricate. Lacking the necessary volumes of training data, along with the difficulties of having ad hoc designs in presence of varying scene…

Graphics · Computer Science 2023-04-27 Weiyu Li , Xuelin Chen , Jue Wang , Baoquan Chen

The evaluation of procedural content generation (PCG) systems for generating video game levels is a complex and contested topic. Ideally, the field would have access to robust, generalisable and widely accepted evaluation approaches that…

Human-Computer Interaction · Computer Science 2024-04-30 Oliver Withington , Michael Cook , Laurissa Tokarchuk

We give necessary and sufficient criteria for elementary operations in a two-dimensional terrain to preserve the persistent homology induced by the height function. These operations are edge flips and removals of interior vertices,…

Computational Geometry · Computer Science 2020-09-14 Ulderico Fugacci , Michael Kerber , Hugo Manet

Deep generative models can automatically create content of diverse types. However, there are no guarantees that such content will satisfy the criteria necessary to present it to end-users and be functional, e.g. the generated levels could…

Machine Learning · Computer Science 2022-06-02 Miguel González-Duque , Rasmus Berg Palm , Søren Hauberg , Sebastian Risi

Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and large studios. However, adoption is hindered by limitations such as slow generation, as well as low quality…

Neural and Evolutionary Computing · Computer Science 2022-04-15 Michael Beukman , Christopher W Cleghorn , Steven James

Creating and evaluating games manually is an arduous and laborious task. Procedural content generation can aid by creating game artifacts, but usually not an entire game. Evolutionary game design, which combines evolutionary algorithms with…

Artificial Intelligence · Computer Science 2024-02-02 Lana Bertoldo Rossato , Leonardo Boaventura Bombardelli , Anderson Rocha Tavares

Real-time depth of field in game cinematics tends to approximate the semi-transparent silhouettes of out-of-focus objects through post-processing techniques. We leverage ray tracing hardware acceleration and spatio-temporal reconstruction…

Graphics · Computer Science 2022-10-13 Yu Wei Tan , Nicholas Chua , Nathan Biette , Anand Bhojan

Procedural Content Generation via Machine Learning (PCGML) faces a significant hurdle that sets it apart from other fields, such as image or text generation, which is limited annotated data. Many existing methods for procedural level…

Computer Vision and Pattern Recognition · Computer Science 2023-06-30 Negar Mirgati , Matthew Guzdial

Terrains are visually important and commonly used in computer graphics. While many algorithms for their generation exist, it is difficult to assess the realism of a generated terrain. This paper presents a first step in the direction of…

While 2D generative adversarial networks have enabled high-resolution image synthesis, they largely lack an understanding of the 3D world and the image formation process. Thus, they do not provide precise control over camera viewpoint or…

Computer Vision and Pattern Recognition · Computer Science 2021-03-31 Katja Schwarz , Yiyi Liao , Michael Niemeyer , Andreas Geiger

Large-scale scene data is essential for training and testing in robot learning. Neural reconstruction methods have promised the capability of reconstructing large physically-grounded outdoor scenes from captured sensor data. However, these…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Julian Ost , Andrea Ramazzina , Amogh Joshi , Maximilian Bömer , Mario Bijelic , Felix Heide

Procedural generation is used across game design to achieve a wide variety of ends, and has led to the creation of several game subgenres by injecting variance, surprise or unpredictability into otherwise static designs. Information games…

Artificial Intelligence · Computer Science 2020-04-07 Michael Cook

As academic interest in procedural content generation (PCG) for games has increased, so has the need for methodologies for comparing and contrasting the output spaces of alternative PCG systems. In this paper we introduce and evaluate a…

Human-Computer Interaction · Computer Science 2022-11-01 Oliver Withington , Laurissa Tokarchuk

An algorithm for 3D terrain-following area coverage path planning is presented. Multiple adjacent paths are generated that are (i) locally apart from each other by a distance equal to the working width of a machinery, while (ii)…

Robotics · Computer Science 2026-03-24 Mogens Plessen

We introduce Proceduray, an engine for real-time ray tracing of procedural geometry. Its motivation is the current lack of mid-level abstraction tools for scenes with primitives involving intersection shaders. Those scenes impose strict…

Graphics · Computer Science 2021-05-24 Vinícius da Silva , Tiago Novello , Hélio Lopes , Luiz Velho

The identification and modeling of the terrain from point cloud data is an important component of Terrestrial Remote Sensing (TRS) applications. The main focus in terrain modeling is capturing details of complex geological features of…

Computer Vision and Pattern Recognition · Computer Science 2019-10-14 Lee Easson , Alireza Tavakkoli , Jonathan Greenberg

Task environments developed in Minecraft are becoming increasingly popular for artificial intelligence (AI) research. However, most of these are currently constructed manually, thus failing to take advantage of procedural content generation…

Artificial Intelligence · Computer Science 2023-01-09 Adarsh Pyarelal , Aditya Banerjee , Kobus Barnard

This work concerns with the following problem. Given a two-dimensional domain whose boundary is a closed polygonal line with internal boundaries defined also by polygonal lines, it is required to generate a grid consisting only of…

Numerical Analysis · Mathematics 2017-12-20 Saúl E. Buitrago Boret , Oswaldo J. Jiménez