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Found 3 papers, 2 papers with code
Harnessing the Conditioning Sensorium for Improved Image Translation
Multi-modal domain translation typically refers to synthesizing a novel image that inherits certain localized attributes from a 'content' image (e. g. layout, semantics, or geometry), and inherits everything else (e. g. texture, lighting, sometimes even semantics) from a 'style' image.
Style Transfer by Relaxed Optimal Transport and Self-Similarity
Style transfer algorithms strive to render the content of one image using the style of another.
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