Body Model

Body models in computer vision and robotics aim to create accurate, detailed digital representations of the human body, encompassing shape, pose, and appearance, often including clothing. Current research focuses on improving the robustness and realism of these models, particularly in handling occlusions and diverse body types, employing techniques like parametric models (e.g., SMPL, SMPL-X), implicit neural representations (e.g., NeRFs, SDFs), and transformer networks. These advancements have significant implications for applications such as virtual reality, animation, human-computer interaction, and even public health research by enabling more realistic simulations and analyses of human movement and behavior.