[论文] SAM2Matting: Generalized Image and Video Matting

论文概要

研究领域: CV 作者: Ruiqi Shen, Guangquan Jie, Chang Liu 发布时间: 2026-06-27 arXiv: 2606.27339

中文摘要

尽管图像抠图取得了令人印象深刻的进展，但视频抠图仍然具有挑战性，因为高级跟踪（需要帧级理解）和低级抠图（关注极细粒度细节）之间存在固有差距。我们提出SAM2Matting，一种跟踪器到抠图框架，利用SAM2的跟踪能力生成高质量的抠图结果，无需昂贵的视频抠图数据集。

原文摘要

Despite impressive advances in image matting, video matting remains challenging due to the inherent gap between high-level tracking, which requires frame-wise understanding, and low-level matting, which focuses on extremely fine-grained details. Existing methods attempt this with expensive and narrowly-scoped video matting datasets, which may limit out-of-domain generalization and compromise tracking robustness. We rethink the paradigm with SAM2Matting, a tracker-to-matting framework that advanc...

--- *自动采集于 2026-06-27*

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