A new artificial intelligence (AI)-based image editing tool uses neural networks to differentiate between objects and the background with enhanced precision. This interesting information came to us from digit.com in their article, “MIT’s Semantic Soft Segmentation tool uses AI for accurately replacing the background of any image.”
Image editors work with and often against, object selection on a daily basis. Users have devised various tricks to accelerate the process because there was no efficient automated feature that could do the same with human-level accuracy.
MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) recently put an AI-assisted image editing tool to the task with promising results. Researchers have named the new tool Semantic Soft Segmentation (SSS), which is based on soft segments that automatically fuse high-level information from a neural network with low-level image features.
For designers, architects, and many other business users, this is good news. For graphic designers? This could be a game changer.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
