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About Towards Machine-Learning Assisted Asset Generation For Games: A Study On Pixel Art Sprite Sheets
This document summarizes a study on using machine learning to assist with generating pixel art sprite sheets for games. The study focuses on using generative adversarial networks to translate line art sketches into pixel art sprites. The researchers applied this technique to the development pipeline of a 2D fighting game to reduce the amount of time needed per character release. Their results showed the deep learning model was able to generate sprites similar to artist-created ones, cutting down the time spent per sprite from hours to minutes.
Detailed Information
| Author: | ['Natan Sanglard'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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