Image matting refers to the process of estimating a per-pixel opacity layer (alpha matte) that separates foreground elements from background. This task underpins a wide range of applications, from ...

Beeble is launching Background Remover, an AI-powered rotoscoping tool designed to deliver clean alpha mattes. The tool enables creators to quickly isolate subjects from complex footage. Using AI ...

Beeble has launched Background Remover, an AI-powered rotoscoping tool it says delivers “clean, detailed alpha mattes in seconds”. It enables creators to isolate subjects from complex footage with ...

Beeble’s new Background Remover is a new AI-powered rotoscoping tool that was designed to allow users to generate clean, production-ready alpha mattes in seconds. Rotoscoping has traditionally been a ...

The Cleveland Browns went to great lengths to promote their much anticipated helmet reveal. Sports broadcaster Pat McAfee hosted Brownie the Elf on his show to do a countdown that began around 1 p.m.

Abstract: We propose a deep convolutional neural network (CNN) method for natural image matting. Our method takes multiple initial alpha mattes of the previous methods and normalized RGB color images ...

Abstract: Natural image matting refers to the interactive process of estimating the foreground opacity (alpha matte) of an input image and extracting the foreground layer. Various approaches have been ...

Alpha matting, also known as foreground segmentation with transparency, plays a crucial role in various image and video processing tasks. It involves estimating the alpha channel, which represents the ...

The program is still in progress. You can try the early version first! Thanks for your attention. If you like Matte Anything, you may also like its previous ...

Video matting aims to predict the alpha mattes for each frame from a given input video sequence. Recent solutions to video matting have been dominated by deep convolutional neural networks (CNN) for ...