Neural networks have become not only a topic of endless discussions, but also a real breakthrough that influences the work of many professionals. Among them are graphic designers. Darya Radchuk, leading designer-illustrator at the ArrowMedia digital agency, talks about which artificial intelligence-based tools can be implemented in the workflow now, and what prospects are opening up thanks to new technologies.reading time - 3 minutesMay 2023
Retouching photos - saving time
Photo retouching is a great example of how artificial intelligence can help save time on routine tasks. Using generative adversarial networks (GANs), you can create realistic images based on training data: fix iran mobile database damage to old photos (creases, scratches, creases), as well as supplement the background, remove unnecessary objects from the image and fill in the resulting gaps. To clip objects, contour recognition algorithms or tools are used that allow the user to specify the object and automatically crop the background around it. This is especially convenient when working with complex textures such as wool or grass.
Restoring the background in photographs is actively used when creating banners
Resource - neural.love
Generate illustrations - create art
The most discussed area of application of AI technologies in graphic design is the creation of illustrations. Neural networks generate many variants of original images in a short time. This saves time that is spent on drawing images manually. Especially if you need to create a large number of illustrations based on one template or different variants of the same plot.
The main subtlety is a precisely formulated request. The designer acts as an operator here and sets the parameters for the neural network: proportions, style, features of detailing or lighting of the scene, and also controls the creation process and selects successful options. A correctly formulated request reduces the time for training the neural network and increases the efficiency of its work.