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Computer Vision – Final Project
Artist Style Transfer using Cyclic Generative Adversarial Networks Collaborators: Aakansha Mathur, Sayan Chakraborty Artistic work is generally recognized through an artist’s brush strokes, color choices, color palette and so on. Each artist’s style is unique and hard to replicate. With advancements in computer vision however, Generative Adversarial Networks are now able to mimic such nuances…
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