Abstract: Highlights•We propose a texture and structure bidirectional generation network (TSBGNet).•We derive a TE-FCMSPCNN to optimize the reconstructed texture.•We globally integrate texture and structure features.•We propose a multi-scale attentional feature fusion (MAFF) module.
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