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<h1>Comixify</h1>
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<div class="authors">
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<div>
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Author 1
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Maciej Pęśko
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</div>
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<div>
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Author 2
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Adam Svystun
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</div>
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<div>
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Author 3
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Paweł Andruszkiewicz
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</div>
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<div>
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Author 4
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Tomasz Trzciński
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</div>
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</div>
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<div>
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<h3>Abstract</h3>
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<div>
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Lorem ipsum eiusmod esse laboris tempor laboris aliquip laborum anim enim reprehenderit consequat sed mollit eiusmod dolore qui duis exercitation adipisicing exercitation in. Sint in occaecat ut incididunt eiusmod consectetur sint quis dolore nostrud laboris sit ut in aute. Ex non dolore ut ullamco ut ea ad dolore. Lorem ipsum cupidatat occaecat veniam consectetur sunt in id incididunt esse. Elit non deserunt laborum anim dolor ut cillum reprehenderit anim veniam incididunt ea aute commodo in dolor. Elit esse nisi anim duis sunt tempor pariatur anim et laborum laborum aute in excepteur cupidatat duis veniam. Voluptate labore ad consectetur ut amet dolor nisi eiusmod consectetur sit in. Laborum in excepteur dolore dolore nulla mollit cillum occaecat ut pariatur non.
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Many recent works in the field of Neural Style Transfer showed that producing an image in the style of another image is possible. There are various possible applications to use such techniques like paintings style transfer or photo-realistic style transfer. In our project, we present end-to-end solution that transforms input video into a comic in just a few seconds. Our work consists of two main parts: keyframes extraction and comic style transfer. In the near future we would like to introduce next two parts: Comic Grid Layout Generation and Speech Extraction.
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</div>
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</div>
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</div>
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<div class="section">
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<h3>Acknowledgements</h3>
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We would like to thank Google for giving us free credits for Google Cloud.
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We would like to thank Google for granting us free Google Cloud Platform credits that enabled us to develop our project.
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</div>
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</div>
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</div>
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