3D Human Digitization

3D human digitization aims to create realistic three-dimensional models of humans from images or videos, focusing on accurately capturing fine details like clothing and overcoming challenges posed by occlusions and diverse poses. Current research heavily utilizes neural networks, particularly those based on implicit functions (like PIFu) and diffusion models, often incorporating techniques like multi-view synthesis and shape-guided inpainting to improve reconstruction quality from single images. These advancements are significant for applications ranging from virtual reality and animation to personalized healthcare and forensic science, enabling more accurate and efficient human representation in various fields.