Semantic Image Matting

Semantic Image Matting is a technique in the field of computer vision that aims to finely segment foreground objects in images through semantic understanding and extract their transparency information. This technology can accurately separate the foreground from the background while preserving the details of the object edges, and it is widely used in film and television post-production, image editing, and virtual reality scenarios to enhance the accuracy and quality of image processing.