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Institute of Software Chinese Academy of Sciences
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Multi-modal models can now better handle distribution shifts thanks to a new method that explicitly models how different categories are distributed, even when the modalities are asymmetrical.
By explicitly disentangling degradation and semantic features with wavelet attention, CWP-Net achieves superior all-in-one image restoration, outperforming previous methods hampered by spurious correlations and biased degradation estimation.
