3D Human Mesh

3D human mesh recovery aims to create realistic three-dimensional models of the human body from various input data, such as images, videos, or even sketches, primarily focusing on accurate pose and shape estimation. Current research emphasizes improving accuracy and consistency through techniques like leveraging anthropometric measurements, refining meshes using 2D keypoints and kinematic tree structures, and employing diffusion models and graph neural networks for more robust and efficient reconstruction. This field is crucial for applications ranging from virtual try-ons and animation to human-computer interaction and biomechanical analysis, driving advancements in computer vision, graphics, and related disciplines.