Search Results for author: Joachim Tesch

Found 6 papers, 4 papers with code

MAMMA: Markerless & Automatic Multi-Person Motion Action Capture

no code implementations16 Jun 2025 Hanz Cuevas-Velasquez, Anastasios Yiannakidis, Soyong Shin, Giorgio Becherini, Markus Höschle, Joachim Tesch, Taylor Obersat, Tsvetelina Alexiadis, Michael J. Black

Our approach offers competitive reconstruction quality compared to commercial marker-based motion-capture solutions, without the extensive manual cleanup.

Markerless Motion Capture

BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion

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.

Synthetic Data Generation

Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation

no code implementations8 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.

Fairness

Populating 3D Scenes by Learning Human-Scene Interaction

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.

Contact Detection Dense contact estimation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.