Our full body implicit generative human model is available. Give it a try!
imGHUM: Implicit generative models of 3d human shape and articulated pose (joint work with Thiemo Alldieck and Hongyi Xu) will appear at ICCV2021.
arxiv.org/pdf/2108.10842.pdfgithub.com/goo.../google-res…
Join us in 10 minutes (10:55 am EDT, 16:55 cet) at #CVPR2021 and exercise! Find out about our AIFIT: Automatic 3D Human-Interpretable Feedback Models for Fitness Training. Paper/data: vision.imar.ro/fit3d/.
New monocular (full-body) 3d human pose and shape estimation (a.k.a. HUND)
Neural Descent for Visual 3D Human Pose and Shape
Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu, CVPR2021.
Excited to share our #CVPR2020 paper on "Three-Dimensional Reconstruction of Human Interactions".
We model and learn physical contact between humans for more accurate 3d reconstruction of interacting people.
Project Page: vision.imar.ro/ci3d
PDF: openaccess.thecvf.com/conten…
ALT Our monocular 3d reconstruction, constrained by contact correspondences, preserves the essence of the physical interaction between people.
#MediaPipe BlazePose GHUM 3D (goo.gle/2PObiaO) is now 3x more accurate, achieving state-of-the-art performance while offering new lite and heavy versions to cover every device and use case! Try it out at solutions.mediapipe.dev/pose for Python, JS, Android and iOS!