SSH-Net combines a CNN noise-removal decoder and a sparse Transformer watermark decoder with a shared encoder and gate fusion, claiming SOTA noisy watermark removal, but its self-supervised target is not an unbiased estimator of the clean image.
Learning a sparse transformer network for effective image deraining
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SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal
SSH-Net combines a CNN noise-removal decoder and a sparse Transformer watermark decoder with a shared encoder and gate fusion, claiming SOTA noisy watermark removal, but its self-supervised target is not an unbiased estimator of the clean image.