A methodology for designing accurate, modifiable and reproducible scientific graphics in environmental studies using GPT4Designer

Abstract The integration of text-to-image generation capabilities within GPT-4 allows for the convenient creation of various graphics. However, the proficiency of GPT-4 in crafting challenging scientific visuals remains largely unexplored. In this study, we conduct systematic experiments by employin...

Full description

Saved in:
Bibliographic Details
Main Authors: Jingsi Gao, Yubo Shi, Ruoyu Wang, Jianfeng Zhou
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-00300-2
Tags: Add Tag
No Tags, Be the first to tag this record!