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๐Ÿ’ฌ LLM (Other)

๐ŸŽž๏ธ ECCV2026 ยท 1 paper notes

๐Ÿ“Œ Same area in other venues: ๐Ÿ“ท CVPR2026 (3) ยท ๐Ÿ”ฌ ICLR2026 (56) ยท ๐Ÿ’ฌ ACL2026 (62) ยท ๐Ÿงช ICML2026 (39) ยท ๐Ÿค– AAAI2026 (29) ยท ๐Ÿง  NeurIPS2025 (54)

SAM2Matting: Generalized Image and Video Matting

SAM2Matting proposes a decoupled "tracker-to-matting" framework that divides video matting into high-level tracking (where a frozen VOS tracker like SAM2/SAM3 ensures temporal consistency) and low-level matting (where a trainable ROI detector + progressive Alpha predictor estimates fine-grained transparency). Trained solely on image matting data, it achieves SOTA in a zero-shot manner on video matting benchmarks. It also supports multiple prompt types, maintains strong temporal consistency, and generalizes well to both human and open-world scenarios.