The Research and Analysis of Game Volume Increments

DOI

10.2991/978-2-38476-344-3_2How to use a DOI?

Keywords

Game; volume increments; deep learning super sampling; AI training

Abstract

With the continuous development of hardware, the picture quality of games also has a qualitative leap, but at the same time, the improvement of the picture quality also makes the game bigger and bigger, the hardware requirements are also higher and higher. However, at this stage, there is no good solution to reduce a portion of the storage space of the game. This article gives an overview of why mainstream games have become bigger, and analyses how games have become more refined through texture mapping, optimizing for different games to relieve some of the storage pressure. It discusses the current situation of developers using technologies such as DLSS to help with partial optimization. In the end, the article summarizes and looks forward to the whole paper, hoping that future game developers will not only focus on the so-called picture quality to develop games, but should focus on some optimization, so that the game has more audience and reduce the storage space required for the game.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zixuan Jiang
PY  - 2024
DA  - 2024/12/31
TI  - The Research and Analysis of Game Volume Increments
BT  - Proceedings of the 2024 International Conference on Humanities, Arts, Education and Social Development (HAESD 2024)
PB  - Atlantis Press
SP  - 4
EP  - 11
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-344-3_2
DO  - 10.2991/978-2-38476-344-3_2
ID  - Jiang2024
ER  -