Deep learning methods have significantly advanced the performance of image matting.
However, dataset biases can mislead the matting models to biased behavior. In this paper …

Despite significant advancements in simulating the bokeh effect of Digital Single Lens
Reflex Camera (DSLR) from an all-in-focus image, challenges remain in processing …

Image matting, aiming to accurately extract foreground objects by estimating their opacity
against the background, has made remarkable progress through deep-learning approaches …

Natural image matting refers to the process of estimating the foreground opacity, also known
as the alpha matte, of an input image and extracting the foreground layer. It is a fundamental …