Current style transfer models are large and require substantial computing resources to achieve the desired results. To accelerate the work and make style transfer a tool that is more widely adopted, researchers from NVIDIA and the University of California, Merced developed a new deep learning-based algorithm for style transfer that is effective and efficient. The research, led by Sifei Liu and��
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