Progressively unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation

HIGHLIGHTS

  • who: Hong-Yu Lee et al. from the Department of Computer Science and Information Engineering, National Central University have published the Article: Progressively Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation, in the Journal: Sensors 2023, 23, 6858. of /2023/
  • what: Despite their promising results existing approaches often fail in challenging conditions particularly when images have various target instances and a task involves significant transitions in shape and visual artifacts when translating low-level information rather than high-level semantics. tackle the problem the authors propose a novel framework . . .

     

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