activity
20242026
most citedFrom Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans

69 citations · 70 across the 3 of their papers we have counts for

collaborators

5 papers

cs.GR2026

Learning Realistic Athletic Sprinting Without Demonstrations

William Wang, Nicholas Bianco, Guy Tevet +4

We present a muscle-driven simulation system for generating biomechanically accurate motion for high-speed athletic locomotion tasks that does not require motion demonstrations. Ou…

cs.GR202569 cited

From Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans

Marilyn Keller, Keenon Werling, Soyong Shin +4

Great progress has been made in estimating 3D human pose and shape from images and video by training neural networks to directly regress the parameters of parametric human models l…

cs.CV20241 cited

OpenCapBench: A Benchmark to Bridge Pose Estimation and Biomechanics

Yoni Gozlan, Antoine Falisse, Scott Uhlrich +3

Pose estimation has promised to impact healthcare by enabling more practical methods to quantify nuances of human movement and biomechanics. However, despite the inherent connectio…

cs.CY2024

Countrywide natural experiment reveals impact of built environment on physical activity

Tim Althoff, Boris Ivanovic, Jennifer L. Hicks +3

While physical activity is critical to human health, most people do not meet recommended guidelines. More walkable built environments have the potential to increase activity across…

cs.CV2024

AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale

Keenon Werling, Janelle Kaneda, Alan Tan +15

While reconstructing human poses in 3D from inexpensive sensors has advanced significantly in recent years, quantifying the dynamics of human motion, including the muscle-generated…