A Geometrical Perspective on Image Style Transfer With Adversarial Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)

引用 6|浏览115
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摘要
Recent years witness the booming trend of applying generative adversarial nets (GAN) and its variants to image style transfer. Although many reported results strongly demonstrate the power of GAN on this task, there is still little known about neither the interpretations of several fundamental phenomenons of image style transfer by generative adversarial learning, nor its underlyi...
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Gallium nitride,Manifolds,Task analysis,Generators,Face,Geometry,Analytical models
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