What are the key features of Swin2SR?

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    2025-04-01T10:30:06+00:00

    Key features of Swin2SR include:
    - State-of-the-art performance in classic, lightweight, and real-world image super-resolution tasks.
    - Exceptional performance in JPEG compression artifact removal and compressed input super-resolution.
    - Faster training convergence compared to SwinIR, particularly in lightweight super-resolution tasks.
    - Training on datasets like DIV2K and Flickr2K, and testing on benchmarks such as RealSRSet, Classic5/Set5, Set14, BSD100, Urban100, and Manga109.

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