Conditional Convolutional Generative Adversarial Networks Based Interactive Procedural Game Map Generation

Ping Kuang; Dingli Luo

doi:10.1007/978-3-030-39445-5_30

ScienceGate Book Chapters

BOOK-CHAPTER

Conditional Convolutional Generative Adversarial Networks Based Interactive Procedural Game Map Generation

Ping Kuang Dingli Luo

Year: 2020 Advances in intelligent systems and computing Pages: 400-419 Publisher: Springer Nature

DOI: 10.1007/978-3-030-39445-5_30

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Generative grammar Adversarial system Artificial intelligence Generator (circuit theory) Video game Convolutional neural network Simple (philosophy) Generative adversarial network Machine learning Theoretical computer science Human–computer interaction Deep learning Multimedia

Metrics

Cited By

1.53

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Computer Graphics and Visualization Techniques

Physical Sciences → Computer Science → Computer Graphics and Computer-Aided Design

Artificial Intelligence in Games

Physical Sciences → Computer Science → Artificial Intelligence

Human Motion and Animation

Physical Sciences → Engineering → Control and Systems Engineering

Conditional Convolutional Generative Adversarial Networks Based Interactive Procedural Game Map Generation

Metrics

Citation History

Topics

Related Documents

Procedural Generation of Roads with Conditional Generative Adversarial Networks

Procedural Generation of Roads with Conditional Generative Adversarial Networks

An Interactive Evolution Strategy based Deep Convolutional Generative Adversarial Network for 2D Video Game Level Procedural Content Generation

Procedural Terrain Generation Using Generative Adversarial Networks

Procedural Terrain Generation Using Generative Adversarial Networks