Brilliant work. I expect a very nice result from this group after the huge AMASS dataset is published. Adversarial learning over a huge motion dataset seems to provide smoothness and realism in temporal domain. Since HMR (2017-2018), adversarial learning has been well utilized in pose estimation problem by the same group.
Hi, Mr Black. Thank your for your work, it looks amazing. I am a student who recently started to study 3D human body reconstruction. I want to reproduce the training process of VIBE, while the paper motioned that mosh data of human3.6m (h36m) is used as ground truth for training. Could you provide the SMPL parameters of h36m obtained by Mosh? If not possible, could you please provide a non-commercial software of Mosh? Thank you very much!
Brilliant work and progress as always !! Congratulations to the team.. when would this work and SMPLify X be available for licensing and use for real world application ??
SMPLify-X available in commercial form from meshcapade.com/ -- reach out to them for details about an improved version of SMPLify-X at info@meshcapade.com
Brilliant work. I expect a very nice result from this group after the huge AMASS dataset is published. Adversarial learning over a huge motion dataset seems to provide smoothness and realism in temporal domain. Since HMR (2017-2018), adversarial learning has been well utilized in pose estimation problem by the same group.
Hi, Mr Black. Thank your for your work, it looks amazing. I am a student who recently started to study 3D human body reconstruction. I want to reproduce the training process of VIBE, while the paper motioned that mosh data of human3.6m (h36m) is used as ground truth for training. Could you provide the SMPL parameters of h36m obtained by Mosh? If not possible, could you please provide a non-commercial software of Mosh? Thank you very much!
Amazing work! Congrats.
can anyone make a tutorial on how to use the code in github using cpu
how vibe diffrent from densepose
Brilliant work and progress as always !! Congratulations to the team.. when would this work and SMPLify X be available for licensing and use for real world application ??
SMPLify-X available in commercial form from meshcapade.com/ -- reach out to them for details about an improved version of SMPLify-X at info@meshcapade.com
probably never like all of these pose estimation demos