HIGHLIGHTS
- who: WorldView- and collaborators from the (UNIVERSITY) have published the paper: High-Resolution Semantically Consistent Image-to-Image Translation, in the Journal: (JOURNAL)
- what: This work proposes an unsupervised DA model that preserves semantic consistency and per-pixel quality for the images during the style-transferring phase. This Article`s major contribution is proposing the improved architecture of the SemI2I model which significantly boosts the proposed model`s performance and makes it competitive with the state-of-the-art CyCADA model. The most common approaches aim to align features across two domains by using a . . .
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