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Scientific Illustrations: A Complete Guide for Researchers

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As a researcher, writing reports and articles is a big part of your job. Academics and scientists everywhere spend the majority of their time either doing research or writing about it. However, there is one aspect of reports and articles that we don’t think about very often, and that is scientific illustrations. We write articles and reports to convey our ideas to a variety of audiences—academics, fellow scientists, and the public. Everyone who has read a report or article recognizes that illustrations, figures, graphs, and infographics are an invaluable factor in clearly presenting ideas. Until recently, there haven’t been many good tools that make it easy to create clear and interesting scientific illustrations. But with the rise of digital technology, this is changing. In this article, we will look at ways you can create detailed and helpful illustrations to better present your ideas and research. We will also examine the latest tools for scientists and researchers to make such illustrations.

Scientific Illustrations: Where to Begin?

The first place to begin with a scientific illustration is research about the subject. Before you can draw something, you need to have a thorough understanding of it. If you are illustrating a process or an organ, it can help to break it down into smaller parts first so you can think about the best way to present it. Once you have all the information you need, make some preliminary sketches on paper. You can think of this step as similar to writing an outline for an article. You will need to have a good idea of what you want your illustration to look like before you start dealing with digital illustration tools.

When you’re making preliminary sketches, it’s important to keep your target audience grain mind first and foremost. Are you making this illustration for fellow academics or other scientists who already have a detailed understanding of the material? Or are you creating it for the general public? Determining your target audience will make it clear what information you need to include and what information you can leave out of your illustration.

Finally, before you turn to digital tools, remember that the purpose of a scientific illustration is not to introduce new materials. Scientific illustrations are used to present the information in your article in a way that is easier to understand for your audience. The illustration should clarify the topic of your research. For example, if you are writing about the way a stent opens up blocked arteries in a heart, then you can create an illustration showing the key components and highlighting the function of the stent.

Digital Tools for Scientific Illustrations

Once you have your preliminary ideas sketched out, it’s time to turn to digital tools. Most researchers are familiar with tools such as PowerPoint and Adobe Photoshop or Illustrator. While PowerPoint is good for making slideshows, it falls short when it comes to making actual illustrations. Adobe Photoshop and Illustrator are wonderful tools, but they are difficult to learn and can be expensive. Fortunately, some recent innovators have created illustration tools especially for scientists .

The hottest tool right now is BioRender , which was created by a group of women in Toronto who recognized the need for a simple illustration program for scientists. BioRender has a library of more than 30,000 life-science icons, which includes anatomical drawings and pictures of everything from SARS-CoV-2 virus particles to fruit flies. The program allows you to drag and drop icons easily and also has special drawing tools. The founders created the program after recognizing the need for it in fast-growing fields like immunology and microbiology that don’t have standard tools for illustrating, unlike engineering or chemistry. However, it does come with an institutional price tag of USD $35 a month or USD $99 for five users.

But BioRender isn’t the only company trying to meet the need for better tools to illustrate scientific concepts. EDrawSoft offers professional scientific diagrams and templates and is great for physics, mathematics, and chemistry. Gimp is another popular illustration software offering tools for high-quality image manipulation . Gimp’s popularity isn’t only because of its variety of tools and ability to work across platforms like Linux. It is also free. However, it’s often considered an alternative to Adobe Photoshop, meaning beginners might have a difficult time getting started. InkScape is another free tool popular for scientists who want to edit vector graphics. Cacoo is great for collaboration as it has the ability to create diagrams as well as edit and comment in real-time. These are just a few of the many tools available now to make high-quality images and scientific illustrations.

Tips for Making Eye-Catching Scientific Illustrations

Once you have identified the best tool for your purpose and learned the basics, it’s time to think about what makes a good scientific illustration. The short answer is: a good scientific illustration should present information clearly in an eye-catching way. It should enhance the understanding of the viewer, not make it more confusing. You can use color, but there’s no need to use the whole rainbow—color sparingly applied can highlight the most important aspects of your illustration. Scientific illustrations can also make use of text to help viewers understand what they are looking at. A great illustration can add a whole new dimension to the presentation of your research, leaving a strong impression on your audience.

As more journals accept illustrations along with articles, the demand for the skill of scientific illustration is also growing. The founders of BioRender highlight what a well-paying field scientific illustration is . Shiz Aoki is one of very few people in the world with an actual degree in medical illustration from Johns Hopkins University. The program only produces six graduates per year. Before Aoki started BioRender, she ran a medical illustration firm that charged between USD $1000 to USD $10,000 for commissions. For many scientists and researchers struggling to make ends meet due to the fallout from the coronavirus epidemic, freelancing in scientific illustration may offer a lucrative side hustle. With the number of tools available, investing some time in learning this new skill now can boost your career in more ways than one.

Do you create illustrations for your articles and presentations? What tools have you found helpful or difficult? Let us know your thoughts in the comments below.

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Prestigious cancer research institute has retracted 7 studies amid controversy over errors

Dana-Farber Cancer Institute

Seven studies from researchers at the prestigious Dana-Farber Cancer Institute have been retracted over the last two months after a scientist blogger alleged that images used in them had been manipulated or duplicated.

The retractions are the latest development in a monthslong controversy around research at the Boston-based institute, which is a teaching affiliate of Harvard Medical School. 

The issue came to light after Sholto David, a microbiologist and volunteer science sleuth based in Wales, published a scathing post on his blog in January, alleging errors and manipulations of images across dozens of papers produced primarily by Dana-Farber researchers . The institute acknowledged errors and subsequently announced that it had requested six studies to be retracted and asked for corrections in 31 more papers. Dana-Farber also said, however, that a review process for errors had been underway before David’s post. 

Now, at least one more study has been retracted than Dana-Farber initially indicated, and David said he has discovered an additional 30 studies from authors affiliated with the institute that he believes contain errors or image manipulations and therefore deserve scrutiny.

The episode has imperiled the reputation of a major cancer research institute and raised questions about one high-profile researcher there, Kenneth Anderson, who is a senior author on six of the seven retracted studies. 

Anderson is a professor of medicine at Harvard Medical School and the director of the Jerome Lipper Multiple Myeloma Center at Dana-Farber. He did not respond to multiple emails or voicemails requesting comment. 

The retractions and new allegations add to a larger, ongoing debate in science about how to protect scientific integrity and reduce the incentives that could lead to misconduct or unintentional mistakes in research. 

The Dana-Farber Cancer Institute has moved relatively swiftly to seek retractions and corrections. 

“Dana-Farber is deeply committed to a culture of accountability and integrity, and as an academic research and clinical care organization we also prioritize transparency,” Dr. Barrett Rollins, the institute’s integrity research officer, said in a statement. “However, we are bound by federal regulations that apply to all academic medical centers funded by the National Institutes of Health among other federal agencies. Therefore, we cannot share details of internal review processes and will not comment on personnel issues.”

The retracted studies were originally published in two journals: One in the Journal of Immunology and six in Cancer Research. Six of the seven focused on multiple myeloma, a form of cancer that develops in plasma cells. Retraction notices indicate that Anderson agreed to the retractions of the papers he authored.

Elisabeth Bik, a microbiologist and longtime image sleuth, reviewed several of the papers’ retraction statements and scientific images for NBC News and said the errors were serious. 

“The ones I’m looking at all have duplicated elements in the photos, where the photo itself has been manipulated,” she said, adding that these elements were “signs of misconduct.” 

Dr.  John Chute, who directs the division of hematology and cellular therapy at Cedars-Sinai Medical Center and has contributed to studies about multiple myeloma, said the papers were produced by pioneers in the field, including Anderson. 

“These are people I admire and respect,” he said. “Those were all high-impact papers, meaning they’re highly read and highly cited. By definition, they have had a broad impact on the field.” 

Chute said he did not know the authors personally but had followed their work for a long time.

“Those investigators are some of the leading people in the field of myeloma research and they have paved the way in terms of understanding our biology of the disease,” he said. “The papers they publish lead to all kinds of additional work in that direction. People follow those leads and industry pays attention to that stuff and drug development follows.”

The retractions offer additional evidence for what some science sleuths have been saying for years: The more you look for errors or image manipulation, the more you might find, even at the top levels of science. 

Scientific images in papers are typically used to present evidence of an experiment’s results. Commonly, they show cells or mice; other types of images show key findings like western blots — a laboratory method that identifies proteins — or bands of separated DNA molecules in gels. 

Science sleuths sometimes examine these images for irregular patterns that could indicate errors, duplications or manipulations. Some artificial intelligence companies are training computers to spot these kinds of problems, as well. 

Duplicated images could be a sign of sloppy lab work or data practices. Manipulated images — in which a researcher has modified an image heavily with photo editing tools — could indicate that images have been exaggerated, enhanced or altered in an unethical way that could change how other scientists interpret a study’s findings or scientific meaning. 

Top scientists at big research institutions often run sprawling laboratories with lots of junior scientists. Critics of science research and publishing systems allege that a lack of opportunities for young scientists, limited oversight and pressure to publish splashy papers that can advance careers could incentivize misconduct. 

These critics, along with many science sleuths, allege that errors or sloppiness are too common , that research organizations and authors often ignore concerns when they’re identified, and that the path from complaint to correction is sluggish. 

“When you look at the amount of retractions and poor peer review in research today, the question is, what has happened to the quality standards we used to think existed in research?” said Nick Steneck, an emeritus professor at the University of Michigan and an expert on science integrity.

David told NBC News that he had shared some, but not all, of his concerns about additional image issues with Dana-Farber. He added that he had not identified any problems in four of the seven studies that have been retracted. 

“It’s good they’ve picked up stuff that wasn’t in the list,” he said. 

NBC News requested an updated tally of retractions and corrections, but Ellen Berlin, a spokeswoman for Dana-Farber, declined to provide a new list. She said that the numbers could shift and that the institute did not have control over the form, format or timing of corrections. 

“Any tally we give you today might be different tomorrow and will likely be different a week from now or a month from now,” Berlin said. “The point of sharing numbers with the public weeks ago was to make clear to the public that Dana-Farber had taken swift and decisive action with regard to the articles for which a Dana-Farber faculty member was primary author.” 

She added that Dana-Farber was encouraging journals to correct the scientific record as promptly as possible. 

Bik said it was unusual to see a highly regarded U.S. institution have multiple papers retracted. 

“I don’t think I’ve seen many of those,” she said. “In this case, there was a lot of public attention to it and it seems like they’re responding very quickly. It’s unusual, but how it should be.”

Evan Bush is a science reporter for NBC News. He can be reached at [email protected].

'ZDNET Recommends': What exactly does it mean?

ZDNET's recommendations are based on many hours of testing, research, and comparison shopping. We gather data from the best available sources, including vendor and retailer listings as well as other relevant and independent reviews sites. And we pore over customer reviews to find out what matters to real people who already own and use the products and services we’re assessing.

When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay. Neither ZDNET nor the author are compensated for these independent reviews. Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers.

ZDNET's editorial team writes on behalf of you, our reader. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article. If you see inaccuracies in our content, please report the mistake via this form .

The best AI image generators to try right now

screenshot-2024-03-27-at-4-28-37pm.png

If you've ever searched Google high and low to find an image you needed to no avail, artificial intelligence (AI) may be able to help. 

With AI image generators, you can type in a prompt as detailed or vague as you'd like to fit an array of purposes and have the image you were thinking of instantly pop up on your screen. These tools can help with branding, social media content creation, and making invitations, flyers, business cards, and more.

Also: ChatGPT no longer requires a login, but you might want one anyway. Here's why

Even if you have no professional use for AI, don't worry -- the process is so fun that anyone can (and should) try it out.

OpenAI's DALL-E 2 made a huge splash because of its advanced capabilities as the first mainstream AI image generator. However, since its initial launch, there have been many developments. Other companies have released models that rival DALL-E 2, and OpenAI even released a more advanced model known as DALL-E 3 , discontinuing its predecessor. 

To help you discover which models are the best for different tasks, I put the image generators to the test by giving each tool the same prompt: "Two Yorkies sitting on a beach that is covered in snow". I also included screenshots to help you decide which is best. 

Also: DALL-E adds new ways to edit and create AI-generated images. Learn how to use it

While I found the best overall AI image generator is Image Creator from Microsoft Designer , due to its free-of-charge, high-quality results, other AI image generators perform better for specific needs. For the full roundup of the best AI image generators, keep reading. 

The best AI image generators of 2024

Image creator from microsoft designer (formerly bing image creator), best ai image generator overall.

  • Powered by DALL-E 3
  • Convenient to access
  • Need a Microsoft account
  • In preview stage

Image Creator from Microsoft Designer is powered by DALL-E 3, OpenAI's most advanced image-generating model. As a result, it produces the same quality results as DALL-E while remaining free to use as opposed to the $20 per month fee to use DALL-E. 

All you need to do to access the image generator is visit the Image Creator website and sign in with a Microsoft account. 

Another major perk about this AI generator is that you can also access it in the same place where you can access Microsoft's AI chatbot, Copilot (formerly Bing Chat) . 

This capability means that in addition to visiting Image Creator on its standalone site, you can ask it to generate images for you in Copilot. To render an image, all you have to do is conversationally ask Copilot to draw you any image you'd like. 

Also:   How to use Image Creator from Microsoft Designer (formerly Bing Image Creator)

This feature is so convenient because you can satisfy all your image-generating and AI-chatting needs in the same place for free. This combination facilitates tasks that could benefit from image and text generation, such as party planning, as you can ask the chatbot to generate themes for your party and then ask it to create images that follow the theme.

Image Creator from Microsoft Designer f eatures:  Powered by:  DALL-E 3 |  Access via:  Copilot, browser, mobile |  Output:  4 images per prompt |  P rice:  Free 

DALL-E 3 by OpenAI

Best ai image generator if you want to experience the inspiration.

  • Not copyrighted
  • Accurate depictions
  • Confusing credits

OpenAI, the AI research company behind ChatGPT, launched DALL-E 2 in November 2022. The tool quickly became the most popular AI image generator on the market. However, after launching its most advanced image generator, DALL-E 3, OpenAI discontinued DALL-E 2. 

DALL-E 3 is even more capable than the original model, but this ability comes at a cost. To access DALL-E 3 you must be a ChatGPT Plus subscriber, and the membership costs $20 per month per user. You can access DALL-E 3 via ChatGPT or the ChatGPT app.

Using DALL-E 3 is very intuitive. Type in whatever prompt you'd like, specifying as much detail as necessary to bring your vision to life, and then DALL-E 3 will generate four images from your prompt. As you can see in the image at the top of the article, the renditions are high quality and very realistic.

OpenAI even recently added new ways to edit an image generated by the chatbot, including easy conversational text prompts and the ability to click on parts of the image you want to edit. 

Like with Copilot, you can chat and render your images on the same platform, making it convenient to work on projects that depend on image and text generation. If you don't want to shell out the money,  Image Creator by Designer  is a great alternative since it's free, uses DALL-E 3, and can be accessed via Copilot.

DALL-E 3 features: Powered by:  DALL-E 3 by OpenAI |  Access via:  ChatGPT website and app |  Output:  4 images per credit |  Price:  ChatGPT Plus subscription, $20 per month

ImageFX by Google

The best ai image generator for beginners.

  • Easy-to-use
  • High-quality results
  • Expressive chips
  • Need a Google account
  • Strict guardrails can be limiting

Google's ImageFX was a dark horse, entering the AI image generator space much later than its competition, over a year after DALL-E 2 launched. However, the generator's performance seems to have been worth the wait. The image generator can produce high-quality, realistic outputs, even objects that are difficult to render, such as hands. 

Also: I just tried Google's ImageFX AI image generator, and I'm shocked at how good it is

The tool boasts a unique feature, expressive chips, that make it easier to refine your prompts or generate new ones via dropdowns, which highlight parts of your prompt and suggest different word changes to modify your output.

ImageFX also includes suggestions for the style you'd like your image rendered in, such as photorealistic, 35mm film, minimal, sketch, handmade, and more. This combination of features makes ImageFX the perfect for beginners who want to experiment. 

ImageFX from Google: Powered by:  Imagen 2  | Access via:  Website |  Output:  4 images |  Price:  free 

DreamStudio by Stability AI

Best ai image generator for customization.

  • Accepts specific instruction
  • Open source
  • More entries for customization
  • Paid credits
  • Need to create an account

Stability AI created the massively popular, open-sourced, text-to-image generator, Stable Diffusion. Users can download the tool and use it at no cost. However, using this tool typically requires technical skill. 

Also :  How to use Stable Diffusion AI to create amazing images

To make the technology readily accessible to everyone (regardless of skill level), Stability AI created DreamStudio, which incorporates Stable Diffusion in a UI that is easy to understand and use. 

One of the standouts of the platform is that it includes many different entries for customization, including a "negative prompt" where you can delineate the specifics of what you'd like to avoid in the final image. You can also easily change the image ratio -- that's a key feature, as most AI image generators automatically deliver 1:1. 

DreamStudio features: Powered by:  SDXL 1.0 by Stability AI  | Access via:  Website |  Output:  1 image per 2 credits |  Price:  $1 per 100 credits |  Credits:  25 free credits when you open an account; buy purchase once you run out

Dream by WOMBO

Best ai image generator for your phone.

  • Remix your own images
  • Multiple templates
  • One image per prompt
  • Subscription cost for full access

This app took the first-place spot for the best overall app in Google Play's 2022 awards , and it has five stars on Apple's App Store with 141.6K ratings. With the app, you can create art and images with the simple input of a quick prompt. 

An added plus is this AI image generator allows you to pick different design styles such as realistic, expressionist, comic, abstract, fanatical, ink, and more. 

Also :  How to use Dream by WOMBO to generate artwork in any style

In addition to the app, the tool has a free desktop mobile version that is simple to use. If you want to take your use of the app to the next level, you can pay $90 per year or $10 per month.

Dream by WOMBO f eatures: Powered by:  WOMBO AI's machine-learning algorithm |  Access via:  Mobile and desktop versions |  Output:  1 image with a free version, 4 with a paid plan |  Price:  Free limited access

Best no-frills AI image generator

  • Unlimited access
  • Simple to use
  • Longer wait
  • Inconsistent images

Despite originally being named DALL-E mini, this AI image generator is NOT affiliated with OpenAI or DALL-E 2. Rather, it is an open-source alternative. However, the name DALL-E 2 mini is somewhat fitting as the tool does everything DALL-E 2 does, just with less precise renditions. 

Also :  How to use Craiyon AI (formerly known as DALL-E mini)

Unlike DALL-E 2, the outputs from Craiyon lack quality and take longer to render (approximately a minute). However, because you have unlimited prompts, you can continue to tweak the prompt until you get your exact vision. The site is also simple to use, making it perfect for someone wanting to experiment with AI image generators. It also generates six images, more than any other chatbot listed. 

Craiyon f eatures: Powered by:  Their model |  Access via :  Craiyon website  |  Output:  6 images per prompt |  Price:  Free, unlimited prompts 

Best AI image generator for highest quality photos

  • Very high-quality outputs
  • Discord community
  • Monthly cost
  • Confusing to set up

I often play around with AI image generators because they make it fun and easy to create digital artwork. Despite all my experiences with different AI generators, nothing could have prepared me for Midjourney -- in the best way. 

The output of the image was so crystal clear that I had a hard time believing it wasn't an actual picture that someone took of my prompt. This software is so good that it has produced award-winning art .

However, I think Midjourney isn't user-friendly and it confuses me. If you also need extra direction, check out our step-by-step how-to here: How to use Midjourney to generate amazing images and art .

Another problem with the tool is that you may not access it for free. When I tried to render images, I got this error message: "Due to extreme demand, we can't provide a free trial right now. Please subscribe to create images with Midjourney."

To show you the quality of renditions, I've included a close-up below from a previous time I tested the generator. The prompt was: "A baby Yorkie sitting on a comfy couch in front of the NYC skyline." 

Midjourney f eatures: Powered by:  Midjourney; utilizes Discord |  Access via:  Discord |  Output:  4 images per prompt |  Price:  Starts at $10/month

Adobe Firefly

Best ai image generator if you have a reference photo.

  • Structure and Style Reference
  • Commercial-safe
  • Longer lag than other generators
  • More specific prompts required

Adobe has been a leader in developing creative tools for creative and working professionals for decades. As a result, it's no surprise that its image generator is impressive. Accessing the generator is easy. Just visit the website and type the prompt of the image you'd like generated. 

Also: This new AI tool from Adobe makes generating the images you need even simpler

As you can see above, the images rendered of the Yorkies are high-quality, realistic, and detailed. Additionally, the biggest standout features of this chatbot are its Structure Reference and Style Reference features. 

Structure Reference lets users input an image they want the AI model to use as a template. The model then uses this structure to create a new image with the same layout and composition. Style Reference uses an image as a reference to generate a new image in the same style. 

These features are useful if you have an image you'd like the new, generated image to resemble, for example, a quick sketch you drew or even a business logo or style you'd like to keep consistent. 

Another perk is that Adobe Firefly was trained on Adobe Stock images, openly licensed content, and public domain content, making all the images generated safe for commercial use and addressing the ethics issue of image generators. 

Adobe Firefly f eatures:  Powered by:  Firefly Image 2 |  Access via:  Website |  Output:  4 images per prompt |  P rice:  Free 

Generative AI by Getty Images

Best ai image generator for businesses.

  • Commercially safe
  • Contributor compensation program
  • Personalized stock photos
  • Not clear about pricing
  • Not individual-friendly

One of the biggest issues with AI image generators is that they typically train their generators on content from the entirety of the internet, which means the generators use aspects of creators' art without compensation. This approach also puts businesses that use generators at risk of copyright infringement. 

Generative AI by Getty Images tackles that issue by generating images with content solely from Getty Images' vast creative library with full indemnification for commercial use. The generated images will have Getty Images' standard royalty-free license, assuring customers that their content is fair to use without fearing legal repercussions.

Another pro is that contributors whose content was used to train the models will be compensated for their inclusion in the training set. This is a great solution for businesses that want stock photos that match their creative vision but do not want to deal with copyright-related issues. 

ZDNET's Tiernan Ray went hands-on with the AI image generator. Although the tool did not generate the most vivid images, especially compared to DALL-E, it did create accurate, reliable, and useable stock images. 

Generative AI by Getty Images f eatures:  Powered by:  NVIDIA Picasso |  Access via:  Website |  Output:  4 images per prompt |  P rice:  Paid (price undisclosed, have to contact the team)

What is the best AI image generator?

Image Creator from Microsoft Designer is the best overall AI image generator. Like DALL-E 3, Image Creator from Microsoft Designer combines accuracy, speed, and cost-effectiveness, and can generate high-quality images in seconds. However, unlike DALL-E 3, this Microsoft version is entirely free.

Whether you want to generate images of animals, objects, or even abstract concepts, Image Creator from Microsoft Designer can produce accurate depictions that meet your expectations. It is highly efficient, user-friendly, and cost-effective.

Note: Prices and features are subject to change.

Which is the right AI image generator for you?

Although I crowned Image Creator from Microsoft Designer the best AI image generator overall, other AI image generators perform better for specific needs. For example, suppose you are a professional using AI image generation for your business. In that case, you may need a tool like Generative AI by Getty Images which renders images safe for commercial use. 

On the other hand, if you want to play with AI art generating for entertainment purposes, Craiyon might be the best option because it's free, unlimited, and easy to use. 

How did I choose these AI image generators?

To find the best AI image generators, I tested each generator listed and compared their performance. The factors that went into testing performance included UI/UX, image results, cost, speed, and availability. Each AI image generator had different strengths and weaknesses, making each one the ideal fit for individuals as listed next to my picks. 

What is an AI image generator?

An AI image generator is software that uses AI to create images from user text inputs, usually within seconds. The images vary in style depending on the capabilities of the software, but can typically render an image in any style you want, including 3D, 2D, cinematic, modern, Renaissance, and more. 

How do AI image generators work?

Like any other AI model, AI image generators work on learned data they are trained with. Typically, these models are trained on billions of images, which they analyze for characteristics. These insights are then used by the models to create new images.

Are there ethical implications with AI image generators?

AI image generators are trained on billions of images found throughout the internet. These images are often artworks that belong to specific artists, which are then reimagined and repurposed by AI to generate your image. Although the output is not the same image, the new image has elements of the artist's original work not credited to them. 

Are there DALL-E 3 alternatives worth considering?

Contrary to what you might think, there are many AI image generators other than DALL-E 3. Some tools produce even better results than OpenAI's software. If you want to try something different, check out one of our alternatives above or the three additional options below. 

Nightcafe is a multi-purpose AI image generator. The tool is worth trying because it allows users to create unique and original artwork using different inputs and styles, including abstract, impressionism, expressionism, and more.

Canva is a versatile and powerful AI image generator that offers a wide range of options within its design platform. It allows users to create professional-looking designs for different marketing channels, including social media posts, ads, flyers, brochures, and more. 

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Help | Advanced Search

Computer Science > Computer Vision and Pattern Recognition

Title: responsible visual editing.

Abstract: With recent advancements in visual synthesis, there is a growing risk of encountering images with detrimental effects, such as hate, discrimination, or privacy violations. The research on transforming harmful images into responsible ones remains unexplored. In this paper, we formulate a new task, responsible visual editing, which entails modifying specific concepts within an image to render it more responsible while minimizing changes. However, the concept that needs to be edited is often abstract, making it challenging to locate what needs to be modified and plan how to modify it. To tackle these challenges, we propose a Cognitive Editor (CoEditor) that harnesses the large multimodal model through a two-stage cognitive process: (1) a perceptual cognitive process to focus on what needs to be modified and (2) a behavioral cognitive process to strategize how to modify. To mitigate the negative implications of harmful images on research, we create a transparent and public dataset, AltBear, which expresses harmful information using teddy bears instead of humans. Experiments demonstrate that CoEditor can effectively comprehend abstract concepts within complex scenes and significantly surpass the performance of baseline models for responsible visual editing. We find that the AltBear dataset corresponds well to the harmful content found in real images, offering a consistent experimental evaluation, thereby providing a safer benchmark for future research. Moreover, CoEditor also shows great results in general editing. We release our code and dataset at this https URL .

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NECN

Dana-Farber Cancer Institute retracts 7 studies after work of researchers is questioned

A microbiologist reviewed the papers and images for nbc news and found that the errors were serious, by jeff saperstone • published april 10, 2024 • updated on april 10, 2024 at 1:07 pm.

Seven studies from researchers at Boston's own Dana-Farber Cancer Institute have been retracted over the last two months.

In January, corrections were requested in 31 papers. The revelations came to light after a blog by a scientist based in Wales.

He said that images used in the research have been manipulated or duplicated. A microbiologist reviewed the papers and images for NBC News and found that the errors were serious.

For its part, Dana-Farber said it moved quickly to make corrections and seek retractions, saying, "Dana-Farber is deeply committed to a culture of accountability and integrity, and as an academic research and clinical care organization we also prioritize transparency."

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Dana-Farber couldn't comment on any personnel issues.

NBC News tried to reach out to the senior author of six of the seven retracted studies, but he didn't respond to voicemails or emails.

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  24. [2404.05580] Responsible Visual Editing

    With recent advancements in visual synthesis, there is a growing risk of encountering images with detrimental effects, such as hate, discrimination, or privacy violations. The research on transforming harmful images into responsible ones remains unexplored. In this paper, we formulate a new task, responsible visual editing, which entails modifying specific concepts within an image to render it ...

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