This System Converts Sketches into Photorealistic Portraits
Mishal Omar — June 17, 2016 — Tech
Designed by Yagmur Gucluturk and Umut Guclu at Radboud, this neural network can interpret and convert sketches into computer-generated realistic portraits.
The technology was created by having thousands of images inserted into the computer along with grayscale sketches of them in order to teach the computer how to convert those sketches into realistic looking portraits. The end result of the experiment turned out to do just that, with the network's computer-generated portraits looking almost as real as the photos they were inspired by.
This neural network has several implications, one of which is that it proves and shows the potential of the idea that computers can learn information and apply it autonomously. As a system in itself, these computer-generated portraits can have applications in the security world by producing photorealistic images of criminal sketches.
The technology was created by having thousands of images inserted into the computer along with grayscale sketches of them in order to teach the computer how to convert those sketches into realistic looking portraits. The end result of the experiment turned out to do just that, with the network's computer-generated portraits looking almost as real as the photos they were inspired by.
This neural network has several implications, one of which is that it proves and shows the potential of the idea that computers can learn information and apply it autonomously. As a system in itself, these computer-generated portraits can have applications in the security world by producing photorealistic images of criminal sketches.
Trend Themes
1. Computer-generated Portraits - Disruptive innovation opportunity: Develop advanced algorithms to enhance portrait realism and apply it to various industries like entertainment and advertising.
2. Autonomous Learning Systems - Disruptive innovation opportunity: Create intelligent systems that can learn and apply information autonomously, revolutionizing industries such as education and healthcare.
3. Photorealistic Image Generation - Disruptive innovation opportunity: Build algorithms and platforms that can generate highly realistic images, opening up possibilities in industries like virtual reality and interior design.
Industry Implications
1. Security - Disruptive innovation opportunity: Develop AI-powered systems that can generate accurate photorealistic images of criminal sketches, aiding law enforcement agencies in identifying suspects.
2. Entertainment - Disruptive innovation opportunity: Integrate computer-generated portraits into film, gaming, and digital media to create visually stunning and lifelike characters.
3. Advertising - Disruptive innovation opportunity: Utilize computer-generated portraits in advertising campaigns to grab attention and create compelling visuals that resonate with target audiences.
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