Using Generative Models to Create a Visual Description of Climate Change

被引：0
|
作者：
Dias, Felipe Santana [1 ]
Moroni, Artemis [2 ]
Pedrini, Helio [1 ]
机构：
[1] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP, Brazil
[2] Renato Archer Informat Technol Ctr, GAIA Senses, BR-13069901 Campinas, SP, Brazil
来源：
ARTSIT, INTERACTIVITY AND GAME CREATION, PT 1, ARTSIT 2023 | 2024年 / 564卷
关键词：
Generative Models; Knowledge Visualization; Climate Change; WEATHER;
D O I：
10.1007/978-3-031-55319-6_14
中图分类号：
J [艺术];
学科分类号：
13 ; 1301 ;
摘要：
The discrepancy between the rapid dissemination of information and its effective communication underlies the phenomenon of scientific denialism. Given the rapid strides in AI generative models, this project explores the domain of knowledge visualization to portray weather data through a visually captivating representation of Rio de Janeiro's climate evolution up to the year 2100. The use of prompt engineering over climate models has yielded promising outcomes in image generation, yet challenges remain in ensuring deterministic accuracy in image construction.
引用
收藏
页码：202 / 212
页数：11
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