MatAnyone's innovative first-frame mask prediction mechanism dramatically simplifies the video keying workflow. While traditional methods usually require manual labeling of multiple frames, MatAnyone only needs the segmentation mask of the first frame (in PNG format, with white indicating the target area and black indicating the background), from which it can predict the alpha matte of all subsequent frames.
Users can use tools such as Photoshop to create the first frame mask, or generate it with the help of open source segmentation tools. The system is sensitive to the quality of the first frame mask, especially the accuracy of the edge region will significantly affect the subsequent prediction effect, so it is recommended that the user put enough attention on this part.
This answer comes from the articleMatAnyone: Extract video to specify the target portrait of the open-source tool to generate the target portrait videoThe
