2 code implementations • CVPR 2023 • Michael J. Black, Priyanka Patel, Joachim Tesch, Jinlong Yang
BEDLAM is useful for a variety of tasks and all images, ground truth bodies, 3D clothing, support code, and more are available for research purposes.
no code implementations • 8 May 2022 • Haiwen Feng, Timo Bolkart, Joachim Tesch, Michael J. Black, Victoria Abrevaya
Our experimental results show significant improvement compared to state-of-the-art methods on albedo estimation, both in terms of accuracy and fairness.
1 code implementation • ICCV 2021 • Muhammed Kocabas, Chun-Hao P. Huang, Joachim Tesch, Lea Müller, Otmar Hilliges, Michael J. Black
We then train a novel network that concatenates the camera calibration to the image features and uses these together to regress 3D body shape and pose.
Ranked #1 on 3D Multi-Person Pose Estimation on AGORA
1 code implementation • CVPR 2021 • Priyanka Patel, Chun-Hao P. Huang, Joachim Tesch, David T. Hoffmann, Shashank Tripathi, Michael J. Black
Additionally, we fine-tune methods on AGORA and show improved performance on both AGORA and 3DPW, confirming the realism of the dataset.
1 code implementation • CVPR 2021 • Mohamed Hassan, Partha Ghosh, Joachim Tesch, Dimitrios Tzionas, Michael J. Black
Second, we show that POSA's learned representation of body-scene interaction supports monocular human pose estimation that is consistent with a 3D scene, improving on the state of the art.
Ranked #4 on Contact Detection on BEHAVE