Whole Body Mesh Recovery

Whole-body mesh recovery aims to reconstruct a detailed 3D model of a human body, including hands and face, from a single image. Current research focuses on developing single-stage methods, leveraging transformer networks and hybrid analytical-neural approaches like inverse kinematics, to overcome limitations of previous two-stage pipelines and improve accuracy and efficiency. These advancements are driven by the need for more robust and resource-efficient models, applicable to diverse scenarios and potentially impacting fields like animation, virtual reality, and human-computer interaction. The development of larger, more diverse datasets is also contributing to progress in this area.