How Artificial Intelligence Is Revolutionizing Image Creation On Shutterstock

How Artificial Intelligence Is Revolutionizing Image Creation On Shutterstock



Artificial Intelligence (AI) has made its way into every industry, from healthcare to banking and even to image creation. Shutterstock is no exception—the stock photography site is using AI to make it easier for photographers and designers to create beautiful visuals that stand out from the crowd. In this blog post, we’ll explore how AI is revolutionizing image creation on Shutterstock—from the new features it’s bringing to the table, to its potential implications for the future of photography. We’ll also discuss some tips on how you can use AI to improve your visual creations.


Artificial intelligence and image creation


Artificial intelligence is revolutionizing image creation on Shutterstock. With the help of AI, Shutterstock is able to create images that are more realistic and lifelike than ever before.


Shutterstock’s AI-powered image creation tool, called “StyleGAN”, can generate high-quality images from scratch. This means that Shutterstock can now create images of people, places, and things that don’t even exist in real life.


StyleGAN is based on a deep learning algorithm called a Generative Adversarial Network (GAN). GANs are used to generate new data by training two neural networks against each other. The first network, called the generator, creates new data points. The second network, called the discriminator, tries to classify the data points as either real or fake.


As the training process progresses, the generator gets better at creating fake data that fools the discriminator. Eventually, the discriminator can no longer tell the difference between real and fake data points.


This process can be used to generate any kind of data, including images. StyleGAN was specifically designed to generate realistic images of faces. However, it can also be used to generate images of other subjects, such as landscapes or objects.


Shutterstock’s AI team has already used StyleGAN to create a large number of new images. These include portraits of people who don’t exist, as well as pictures of made-up places and things.


The benefits of using AI for image creation


Artificial intelligence is revolutionizing image creation on Shutterstock by making it easier and faster to create high-quality images. AI can help you quickly generate images that are realistic and consistent with your brand guidelines. Additionally, using AI for image creation can help you save time and money by reducing the need for manual labor.


The challenges of using AI for image creation


The process of creating images is an important part of many businesses, from product design to marketing. And while artificial intelligence (AI) has made great strides in other areas such as natural language processing and identification, the same can’t be said for its ability to generate original images.


There are a number of reasons why AI has been slow to catch up in this area. For one, the training data required to teach AI algorithms how to create images is much more complex than the data sets used for tasks like text recognition. Images are also three-dimensional, so they require a different kind of processing than text or even videos.


But the biggest challenge facing AI when it comes to image creation is the lack of creativity involved in the process. To create an original image, you need more than just technical skills—you need an eye for composition, color, and design. And while AI can be trained to recognize these elements in existing images, it’s still far from being able to create them from scratch.


This isn’t to say that AI won’t eventually be able to generate original images—it’s just that the technology is still in its early stages. In the meantime, businesses that rely on image creation will continue to need human experts to get the job done right.


How Shutterstock is using AI for image creation


Shutterstock is one of the first companies to adopt artificial intelligence for image creation. The company has been using AI to create images since 2015 and has seen great success with the technology.


Shutterstock’s AI system is called “Sketch2Photo“. It allows users to input a rough sketch of an image, and then outputs a high-quality photo that matches the sketch. This system is powered by a deep learning algorithm, which has been trained on millions of images from Shutterstock’s collection.


The results of Sketch2Photo are impressive, and often indistinguishable from photos that have been taken by professional photographers. This technology opens up new possibilities for image creation, and will likely lead to more realistic and lifelike images being created by AI in the future.


The future of AI and image creation


Artificial intelligence is rapidly changing the landscape of image creation. Shutterstock, the world’s largest stock photo agency, has embraced AI and is using it to revolutionize the way images are created.


Shutterstock was founded in 2003 with the mission to “change the way the world creates images.” In the years since, we’ve seen a major shift in how images are created and used. The rise of digital cameras and smartphones has made photography more accessible than ever before, and social media has created a new demand for images.


In response to these changes, Shutterstock has evolved from a traditional stock photo agency to a cutting-edge image creation platform. We now offer an array of tools and services that make it easy for anyone to create professional-quality images.


And we’re just getting started. In the coming years, we will continue to harness the power of AI to further simplify and enhance image creation. Here are some of the ways we see AI transforming image creation in the future:


  1. Automated Image Enhancement: AI will enable us to automatically enhance images to make them look their best. This includes correcting exposure, color, and composition issues as well as applying filters and other effects.


  1. Object Recognition: AI will help us identify objects in images so they can be properly categorized and tagged. This will make it easier for users to find the right image for their needs.


  1. Background Removal: AI will make it easier to remove backgrounds from images, allowing them to be used in different contexts.


  1. Automated Image Creation: AI will enable us to create entire images from scratch based on a set of guidelines or criteria. This could be used for product shots, magazine covers, and much more.


These are just some of the ways we see AI changing the landscape of image creation. As artificial intelligence continues to advance, we’ll continue to explore new and exciting ways to revolutionize image creation.




In conclusion, artificial intelligence is playing an increasingly important role in the image creation process on Shutterstock. AI-powered tools are now able to generate unique images suitable for a variety of uses and can even help photographers find that perfect shot. The future of Shutterstock’s AI capabilities looks bright, as the technology continues to mature and more people become aware of its potential. As more Shutterstock users embrace this technology, we will no doubt see further improvements in image quality and selection on the platform.


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