3 citations · 4 across the 2 of their papers we have counts for
5 papers
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
Michael J. Black, Priyanka Patel, Joachim Tesch +1
We show, for the first time, that neural networks trained only on synthetic data achieve state-of-the-art accuracy on the problem of 3D human pose and shape (HPS) estimation from r…
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Haiwen Feng, Timo Bolkart, Joachim Tesch +2
Virtual facial avatars will play an increasingly important role in immersive communication, games and the metaverse, and it is therefore critical that they be inclusive. This requi…
SPEC: Seeing People in the Wild with an Estimated Camera
Muhammed Kocabas, Chun-Hao P. Huang, Joachim Tesch +3
Due to the lack of camera parameter information for in-the-wild images, existing 3D human pose and shape (HPS) estimation methods make several simplifying assumptions: weak-perspec…
AGORA: Avatars in Geography Optimized for Regression Analysis
Priyanka Patel, Chun-Hao P. Huang, Joachim Tesch +3
While the accuracy of 3D human pose estimation from images has steadily improved on benchmark datasets, the best methods still fail in many real-world scenarios. This suggests that…
Populating 3D Scenes by Learning Human-Scene Interaction
Mohamed Hassan, Partha Ghosh, Joachim Tesch +2
Humans live within a 3D space and constantly interact with it to perform tasks. Such interactions involve physical contact between surfaces that is semantically meaningful. Our goa…