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...
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| 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 |
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