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#motiontransfer#generativeadversarialnetworks#everybodydancenow

Everybody Dance Now! - AI-Based Motion Transfer

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  • Linked in the descriptionarXiv 1808.07371
  • May be out of date. Uploaded 8 years ago, in an area where tools change fast.

Beginner. No background in the topic needed.

95K views8 years ago1 recommendation

AI and machine learningGraphics and audioNeural networks and deep learningComputer vision

An explanation of a deep learning method that transfers motion from a source video of a dancer to a target subject.

Pick up cool perks on our Patreon page: patreon.com/TwoMinutePapers The paper "Everybody Dance Now" is available here: arxiv.org/abs/1808.07371 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: 313V, Andrew Melnychuk, Angelos Evripiotis, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis Abts, Emmanuel, Eric Haddad, Eric Martel, Esa Turkulainen, Geronimo Moralez, Kjartan Olason, Lorin Atzberger, Marten Rauschenberg, Michael Albrecht, Michael Jensen, Milan Lajtoš, Morten Punnerud Engelstad, Nader Shakerin, Owen Skarpness, Raul Araújo da Silva, Rob Rowe, Robin Graham, Ryan Monsurate, Shawn Azman, Steef, Steve Messina, Sunil Kim, Thomas Krcmar, Torsten Reil, Zach Boldyga. patreon.com/TwoMinutePapers Crypto and PayPal links are available below. Thank you very much for your generous support! Bitcoin: 13hhmJnLEzwXgmgJN7RB6bWVdT7WkrFAHh PayPal: paypal.me/TwoMinutePapers Ethereum: 0x002BB163DfE89B7aD0712846F1a1E53ba6136b5A LTC: LM8AUh5bGcNgzq6HaV1jeaJrFvmKxxgiXg Thumbnail background image credit: pixabay.com/photo-2122473/ Splash screen/thumbnail design: Felícia Fehér - felicia.hu Károly Zsolnai-Fehér's links: Facebook: facebook.com/TwoMinutePapers/ Twitter: twitter.com/karoly_zsolnai Web: cg.tuwien.ac.at/~zsolnai/

Why it's here

1 person recommends this

What people say. Recommended as an impressive demonstration of deep learning applications in motion transfer.

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