AI Design

Artificial intelligence has become a continuously growing element in today’s world. According to Alice Bonasio, a technology writer, AI research exhibited a 12.9% annual growth over the past five years and is successfully being used by multiple businesses to increase productivity and optimize RoI. Just as artificial intelligence successfully invaded multiple domains such as marketing, banking, finance, agriculture and more, it has also effectuated the digital designing domain. 

We have explored a few, extremely interesting, AI-based developments in the designing world, below.

Doodles To Landscapes

Modern Landscape Design

With AI in place, designers can now generate landscapes that are so realistic that it would make you wonder which part of the world the particular piece of land exists in. This goes beyond the enchanting photos taken by master photographers of the natural wonders and beauties that are a part of mother nature. Now, all that is required is a minimalistic doodle to develop a hyper-realistic landscape designed to match our imaginations. 

A deep learning model that uses generative adversarial networks or GANs is used to convert doodles to such images. This model is trained with more than a million images that when a doodle is created, the neural network adds layers of details, such as colours, textures, reflections and shadows, learnt from the images and generates a vivid landscape. Making changes to such AI-developed scenery can be done with extreme ease. Such a tool is beneficial for landscape designers, architects and game developers.

Grainy To Crystal Clear

Crystal Clear Picture

Removing noise grain from images to produce remarkably clear results is an advantageous development facilitated by artificial intelligence. Many real-world scenarios can benefit from this AI application, including astronomical imaging and MRI scan images. The noise from grainy pictures or images can be removed using AI to reveal the original content underneath with high clarity. Here as well, a deep-learning algorithm developed and trained with myriad images converts corrupt pictures to clear ones without any compromise on details or quality. This application not just works on noise, but the text on images, such as watermarks, can be removed as well. 

In general, rendering an image might take several minutes to even hours, whereas, with AI-based applications, it takes just milliseconds to render the target photo.

Single Image To Video

Single Image To Video

The AI system developed by researchers at Moscow’s Samsung Artificial Intelligence Center (SAIC) can convert a single portrait or picture into a video- a talking head. The neural network system is trained with a multitude of videos. The system learns to identify facial features and to map eyes, nose, ears, mouth and other details on the face. 

With this learning, the system generates a ‘talking head’ from just a single picture or even a painting. The realistic nature of the ‘talking head’ only increases as the number of images supplied of the same person is increased. Check out some quirky examples below.

Real Or Manipulated?

Manipulated Photo Back to Original Photo

The combined efforts of researchers from UC Berkeley and Adobe resulted in the development of an AI system that can detect any manipulations done by Adobe’s Photoshop liquify tool on the faces in pictures. A convolutional neural network (CNN) was trained by the researchers with the aid of thousands of portraits on which the liquify tool was used. 

Post-development, the AI was able to accurately detect more than 99% of the manipulated images and specific manipulations. The AI upon detecting the manipulated part of the face was also able to undo the changes and thus reconstruct or restore the image back to its original form.

Automatic Separation 

Semantic Soft Segmentation Technology Picture

The Semantic Soft Segmentation is a technology created by Computer Science & Artificial Intelligence Lab (CSAIL) of MIT. This technology used artificial intelligence to separate the various layers or objects in an image automatically. This automatic separation grants ease of image editing and now we can easily change the background of any image or project objects of one image onto a completely new background or scenery. 

Image separation is usually a tedious job done using Photoshop but with this technology, this hassle can now be cut down. The system begins by detecting the various regions in the target image. Following this, it detects soft transitions in the image, such as fur, hair or grass. The image pixels are then associated with each other based on colours. Combining all this information, the technology identifies the various layers and processes the image rendering it ready for editing.

The AI Faces

AI Face Photos

‘Generative Photos’ developed by San Francisco-based Rosebud AI offers a library consisting of 25,000 high-resolution stock photos of people who are not real. Every face in the library is AI-generated. An exciting feature of ‘Generative Photos’ is that we can customize an image by combining any face with anybody with just a single click. This ability to choose among the various skin colours, features and ethnicity helps brands serve ads to a variety of audiences. 

A business or a brand can create its own model, completely unique from their peers. With this development, we can use these stock photos for designing purposes without the fear of being repetitive within the industry.

These advancements in the designing world have coped to meet the changing expectations of consumers, delivering personalizations and enhanced customer experience. With AI changing the process flows in the designing vertical, the functions of a designer will also change to include and employ AI-based tools that will only make the work of a designer more efficient and easier to furnish. 

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