3D Human Shape Estimation

3D Human Shape Estimation is a computer vision technology aimed at reconstructing the three-dimensional shape and pose of a human body from one or more images. This technology analyzes geometric features and texture information in the images, combined with deep learning algorithms, to achieve precise estimation of the human model. Its goal is to provide high-precision, real-time 3D human reconstruction to support applications such as virtual try-on, human-computer interaction, and motion capture, thereby enhancing user experience and system performance.