Crpgan: learning image-to-image translation of two unpaired images by cross-attention mechanism and parallelization strategy

HIGHLIGHTS

• who: Long Feng and collaborators from the School of Information Science and, Northwest University, Xi`an, China have published the research work: CRPGAN: Learning image-to-image translation of two unpaired images by cross-attention mechanism and parallelization strategy, in the Journal: PLOS ONE of 27/09/2022
• what: To address this problem the authors propose a multi-scale training structure and a progressive growth generator method to solve UI2I task. The authors propose a new Cross-CBAM mechanism (CRCBAM) which uses a multi-layer spatial attention and channel attention cross structure to generate more . . .
  

   

  

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