1 code implementation • 25 Oct 2022 • Ahmed A. A. Osman, Timo Bolkart, Dimitrios Tzionas, Michael J. Black
Using novel 4D scans of feet, we train a model with an extended kinematic tree that captures the range of motion of the toes.
1 code implementation • CVPR 2021 • Lea Müller, Ahmed A. A. Osman, Siyu Tang, Chun-Hao P. Huang, Michael J. Black
Third, we develop a novel HPS optimization method, SMPLify-XMC, that includes contact constraints and uses the known 3DCP body pose during fitting to create near ground-truth poses for MTP images.
Ranked #80 on 3D Human Pose Estimation on 3DPW (MPJPE metric)
1 code implementation • ECCV 2020 • Ahmed A. A. Osman, Timo Bolkart, Michael J. Black
The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D human pose and shape.
1 code implementation • CVPR 2019 • Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black
We use the new method, SMPLify-X, to fit SMPL-X to both controlled images and images in the wild.
Ranked #1 on 3D Human Reconstruction on Expressive hands and faces dataset (EHF) (TR V2V (mm), left hand metric)