Everybody’s Talkin’: Let Me Talk as You Want :
A method to edit a target portrait footage by taking a sequence of audio as input to synthesize a photo-realistic video.
Source Code ———»»» https://wywu.github.io/projects/EBT/EBT.html
Paper Link ————»»» https://arxiv.org/pdf/2001.05201.pdf
#machineLearning #AI #DataScience
A method to edit a target portrait footage by taking a sequence of audio as input to synthesize a photo-realistic video.
Source Code ———»»» https://wywu.github.io/projects/EBT/EBT.html
Paper Link ————»»» https://arxiv.org/pdf/2001.05201.pdf
#machineLearning #AI #DataScience
YouTube
[TIFS 2022] Everybody’s Talkin’: Let Me Talk as You Want
The demo of technical report "Everybody’s Talkin’: Let Me Talk as You Want"
Project Page: https://wywu.github.io/projects/EBT/EBT.html
Project Page: https://wywu.github.io/projects/EBT/EBT.html
Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the Wild
A markerless motion capture method with spatiotemporal accuracy and smoothness from multiple cameras, even in wide and multi-person environments.
Source Code ———»»» http://www.ynl.t.u-tokyo.ac.jp/research/vmocap-syn/
Paper Link ————»»» https://arxiv.org/pdf/2001.05613.pdf
#machineLearning #AI #DataScience
A markerless motion capture method with spatiotemporal accuracy and smoothness from multiple cameras, even in wide and multi-person environments.
Source Code ———»»» http://www.ynl.t.u-tokyo.ac.jp/research/vmocap-syn/
Paper Link ————»»» https://arxiv.org/pdf/2001.05613.pdf
#machineLearning #AI #DataScience
YouTube
VMocap: Synergetic Reconstruction for Wide-Space Multi-Person Video Motion Capture in the Wild
Takuya Ohashi, Yosuke Ikegami, Yoshihiko Nakamura, “Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in ...