AI graphical abstract generator | Challenges and Problems

A graphical abstract is an illustration of a paper’s abstract that conveys the main idea to help the readers in order to understand the content better quickly. Before introducing Artificial Intelligence (AI) Image Generators, most of the researchers created graphical abstracts on their own or ordered to experts like professional scientific illustrators. These days, students are looking to find an excellent AI graphical abstract generator for their research. However, AI scientific illustration generators, suffer from challenges and we will discuss it here.

Prompts for AI graphical abstract generator

Over the years, AI image generator tools have evolved significantly. It seems that students and scientists are trying to find a way to use AI for their purposes these years. However, most scientists are not trained in scientific figure creation and AI tools would be very helpful, at least in simple scientific figures, or make scientific TOC more attractive.

AI is still limited in its ability to generate images correctly and accurately for complex scientific illustrations, but applying appropriate prompts, would give an acceptable output. Learning prompting techniques in AI tools can be easy and scientists can find tutorial videos on YouTube.

AI graphical abstract generator performs well for these cases:

1- Generation scientific icons

2- Generation common lab devices

3- Light and resolution correction

4- Providing simple issues and images for education

5- Generation each part of a graphical abstract separately.

Laboratory concept created by AI

 

Best AI graphical abstract generators

The companies that provide AI services are in big competition so in the future, some of them will disappear and some new companies will enter this market. Thus, this list will change each year. Right now, the best AI image makers are introduced.

• Jasper Art
• Getimg.ai
• Midjourney
• Craiyon
• Adobe Firefly
• DALL E-2
• NightCafe
• Stable Diffusion
• WOMBO Dream
• Starryai

For generating simple images, DALL-E  and MidJourney would be great.

For Light correction and image modification, Getimg.ai is better.

For generating educational figures, MidJourney works better than others.

 

Problems and challenges of AI graphical abstract generators

Although in the first step, seems we can generate every image we want, AI cannot meet all scientists’ needs completely for some reason:

1- Precise information:

One of the big challenges in the scientific figures is everything must be precise and transfer the idea perfectly and AI cannot provide it accurately.

2- Misleading readers:

Evidence shows that the scientific figures created by AI tools contain misleading information like extra background or light that the authors of a paper don’t want to show them.

3- Spelling error:

When scientists give texts to AI tools in order to label or tag the texts on the figure, results appear with huge spelling errors.

4- Editing process:

When scientists receive a figure generated by AI, and then they want to make some edits on the figure or redesign scientific illustrations, unfortunately, AI tools generate new figures with different views, and everything changes in the artwork, so the editing process is too difficult.

5- Criteria of scientific journals

Some publishers like Nature, Wiley, and Cell-press have forbade the use of AI tools for scientific illustration. We strongly suggest you read the “Criteria for selecting scientific cover artwork by editors” if you want to apply for a journal cover.

Cell created by AI (These figures are clearly not scientifically correct and AI can’t generate complex scientific figures) Source of link

 

Creating process of a graphical abstract

If you want to create a graphical abstract without the help of any graphic designer, you can use both the ready-made scientific 3D bundles and an AI graphical abstract generator. But the other suggestion is to order a scientific illustration on the Inmywork website and you can keep in touch with our team for the editing process of graphical abstract and journal cover artworks.