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FeyNoBg is a state-of-the-art automatic background removal model that achieves top scores on four of eight benchmarks and comes within 2% of the leader on the rest. The accompanying NoBg library is open-source for running or training custom models.
SAM2Matting introduces a tracker-to-matting framework that enhances foundational trackers like SAM2 with region-proposal bridges and matting heads, achieving state-of-the-art video matting performance even when trained only on images, with strong generalization across diverse scenarios.