Everybody Dance Now is a new paper out of UC Berkeley thats able to create photorealistic video of someone dancing in the style of another, more professional dancer. Its like autotune for dance! They trained their model on a source subject (a trained dancer), then were able to transfer that dancing ability onto a target subject. In the video that was generated, the target subject takes on the source subjects dance moves as if it was their own! Incredible work, and it has huge implications for society as a whole. In this video, i'll explain the generative model they used using code and animations, as well as applications of this technology. Enjoy!
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Everybody Dance Now! Explained
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everybody dance now!everybody dance nowUC berkeleyprogrammingcodingartificial intelligencemachine learningtraining datadeep learningGANgenerative adversarial networkpythonencoderdecoderskip connectionsneural networkfacial detectiondancing AIAI Dancesiraj ravalaicomputer scienceunsupervised learninguc berkeley aiai motion transfer