We introduce SkelFormer, a novel markerless motion capture pipeline for multi-view human
pose and shape estimation. Our method first uses off-the-shelf 2D keypoint estimators, pre …

Multi-view 3D human pose estimation (HPE) currently faces several key challenges.
Information from different viewpoints exhibits high variability due to complex environmental …

We present a novel method for 3D human body reconstruction with multi-view images from
calibration-free cameras by multi-view fusion with explicit visibility modelling. Existing multi …

Multiple cameras can provide comprehensive multi-view video coverage of a person. Fusing
this multi-view data is crucial for tasks like behavioral analysis, although it traditionally …

Although there are many advantages (eg, occlusion-robust properties) to be gained by using
multi-view inputs for human mesh reconstruction, relatively few studies have been …

Human mesh recovery from arbitrary multi-view images involves two characteristics: the
arbitrary camera poses and arbitrary number of camera views. Because of the variability …

Interactive hand mesh reconstruction from singleview images poses a significant challenge
with the severe occlusion and depth ambiguity inherent in interactive hand gestures. Recent …

Recent advancements in sensor technology and deep learning have led to significant
progress in 3D human body reconstruction. However, most existing approaches rely on data …

Multi-person human mesh recovery (HMR) consists in detecting all individuals in a given
input image, and predicting the body shape, pose, and 3D location for each detected …

Reconstructing accurate and smooth 3D human mesh from a monocular video is still a
challenge, due to the temporal consistency requirement of body movements. A frame-level …