Human Reconstruction

Human reconstruction aims to create accurate and realistic 3D models of humans from various input data, such as images and videos, often focusing on capturing fine details like clothing and hair. Current research emphasizes improving the robustness and efficiency of reconstruction methods, employing techniques like neural radiance fields (NeRFs), Gaussian splatting, and implicit neural representations, often incorporating geometric and physical priors to enhance accuracy. These advancements have significant implications for fields like virtual reality, animation, and human-computer interaction, enabling more realistic and immersive experiences.