Results 1 to 10 of about 2,096 (127)

Creating a Newer and Improved Procedural Content Generation (PCG) Algorithm with Minimal Human Intervention for Computer Gaming Development

open access: yesComputers
Procedural content generation (PCG) algorithms have become increasingly vital in video games developed by small studios due to their ability to save time while creating diverse and engaging environments, significantly enhancing replayability by ensuring ...
Lazaros Lazaridis, George F. Fragulis
doaj   +4 more sources

Development and Evaluation of a Virtual Environment to Assess Cycling Hazard Perception Skills [PDF]

open access: yesSensors, 2021
Safe cycling requires situational awareness to identify and perceive hazards in the environment to react to and avoid dangerous situations. Concurrently, tending to external distractions leads to a failure to identify hazards or to respond appropriately ...
Kjell van Paridon   +2 more
doaj   +2 more sources

IORand: A Procedural Videogame Level Generator Based on a Hybrid PCG Algorithm

open access: yesApplied Sciences, 2022
In this work we present the intelligent orchestrator of random generators (IORand), a hybrid procedural content generation (PCG) algorithm, driven by game experience, based on reinforcement learning and semi-random content generation methods.
Marco A. Moreno-Armendáriz   +3 more
doaj   +3 more sources

Procedural Content Generation via Knowledge Transformation (PCG-KT)

open access: yesIEEE Transactions on Games
We introduce the concept of Procedural Content Generation via Knowledge Transformation (PCG-KT), a new lens and framework for characterizing PCG methods and approaches in which content generation is enabled by the process of knowledge transformation -- transforming knowledge derived from one domain in order to apply it in another. Our work is motivated
Anurag Sarkar   +5 more
openaire   +4 more sources

DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation

open access: yes2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Procedural Content Generation (PCG) is powerful in creating high-quality 3D contents, yet controlling it to produce desired shapes is difficult and often requires extensive parameter tuning. Inverse Procedural Content Generation aims to automatically find the best parameters under the input condition. However, existing sampling-based and neural network-
Wang Zhao   +4 more
openaire   +4 more sources

Procedural Content Generation for General Video Game Level Generation

open access: yesInteligencia Artificial, 2021
With the passage of time, video games are becoming more complex, and their development incurs greater time and cost. The creation of video gaming content such as levels, maps, textures and so on represent a large part of the overall cost of game ...
Adeel Zafar, Hasan Mujtaba, Omer Beg
doaj   +3 more sources

Procedural Dungeon Generation: A Survey

open access: yesJournal on Interactive Systems, 2021
Procedural content generation (PCG) is a method of content creation entirely or partially done by computers. PCG is popularly employed in game development to produce game content, such as maps and levels.
Breno M. F. Viana, Selan R. dos Santos
doaj   +1 more source

Microbial Content Generation for Natural Terrains in Computer Games

open access: yesFrontiers in Computer Science, 2022
Procedural content generation (PCG) has been applied since several decades to fulfill various game-related design needs. Besides bio-inspired methods, living (non-human) organisms were used in computer games for various purposes, such as behavior ...
Maarten H. Lamers, Wim J. O. M. van Eck
doaj   +1 more source

Procedural Content Generation Using Reinforcement Learning for Disaster Evacuation Training in a Virtual 3D Environment

open access: yesIEEE Access, 2023
This research addresses the need for effective disaster evacuation training methods by proposing a virtual reality system that utilizes Reinforcement Learning Procedural Content Generation (RL-PCG) algorithms.
Jigyasa Agarwal, S. Shridevi
doaj   +1 more source

Procedural Generation of 3D Maps With Snappable Meshes

open access: yesIEEE Access, 2022
In this paper we present a technique for procedurally generating 3D maps using a set of premade meshes which snap together based on designer-specified visual constraints.
Rafael C. E Silva   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy