Abstract: Highlights•Achieving an efficient balance between model performance and complexity.•Effectively combines ConvNets and Transformer and utilizes their strengths.•Achieving excellent super-resolution results on mainstream test datasets.
External IDs:dblp:journals/ijon/WangLLLR25
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