12 citations · 51 across the 32 of their papers we have counts for
6 papers · 1 filter
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn +1
Monocular 3D human pose and shape estimation is an inherently ill-posed problem due to depth ambiguities, occlusions, and truncations. Recent probabilistic approaches learn a distr…
Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
Cuong Le, Viktor Johansson, Manon Kok +1
Human motion capture from monocular videos has made significant progress in recent years. However, modern approaches often produce temporal artifacts, e.g. in form of jittery motio…
Temporally-consistent 3D Reconstruction of Birds
Johannes Hägerlind, Jonas Hentati-Sundberg, Bastian Wandt
This paper deals with 3D reconstruction of seabirds which recently came into focus of environmental scientists as valuable bio-indicators for environmental change. Such 3D informat…
Representing Animatable Avatar via Factorized Neural Fields
Chunjin Song, Zhijie Wu, Bastian Wandt +2
For reconstructing high-fidelity human 3D models from monocular videos, it is crucial to maintain consistent large-scale body shapes along with finely matched subtle wrinkles. This…
CasCalib: Cascaded Calibration for Motion Capture from Sparse Unsynchronized Cameras
James Tang, Shashwat Suri, Daniel Ajisafe +2
It is now possible to estimate 3D human pose from monocular images with off-the-shelf 3D pose estimators. However, many practical applications require fine-grained absolute pose in…
DiffSF: Diffusion Models for Scene Flow Estimation
Yushan Zhang, Bastian Wandt, Maria Magnusson +1
Scene flow estimation is an essential ingredient for a variety of real-world applications, especially for autonomous agents, such as self-driving cars and robots. While recent scen…