🛠 SAM2Matting: A New Standard for High-Quality Video Matting
Developers from Fudan University have introduced a framework for high-quality matting of objects with soft edges. The system utilizes frozen SAM2.1/SAM3 trackers alongside trainable modules to reconstruct fine details (hair, semi-transparent edges).
🌍 This paves the way for universal tools in video editing and AR.
👤 Professional background removal becomes accessible without the need for expensive datasets.
Source 1: https://arxiv.org/html/2606.27339v1 Source 2: https://github.com/FudanCVL/SAM2Matting
