State of the art in human-motion transfer! https://www.profillic.com/paper/arxiv:1911.10672 code request link that goes to authors: (link works for laptop/desktop) http://bit.ly/motiontransfer (Their method achieves appearance-controllable synthesis ..

Deep Learning/Papers2read 2019. 11. 27. 14:49

State of the art in human-motion transfer!

https://www.profillic.com/paper/arxiv:1911.10672

code request link that goes to authors: (link works for laptop/desktop) http://bit.ly/motiontransfer

(Their method achieves appearance-controllable synthesis with higher video quality than state-of-art based on only one-time training)
https://www.facebook.com/groups/DeepNetGroup/permalink/1014152448977637/?sfnsn=mo

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