Abstract: The 6D pose estimation for metal parts is essential in industrial robotic applications. Although the 6D pose estimation methods that rely on object-specific training have gained extensive ...
This is the offical Pytorch implementation of PersPose, which estimates the 3D positions of joints from individual images. Below is the overall framework. We design Perspective Encoding (PE) to encode ...
Abstract: We present SpineTrack, the first comprehensive dataset for 2D spine pose estimation in unconstrained settings, addressing a crucial need in sports analytics, healthcare, and realistic ...
Abstract: Despite the significant advancements in deep learning, the task of estimating 3-D human pose and shape from a monocular RGB image remains challenging, primarily due to depth ambiguity.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results