MultiGO: Towards Multi-level Geometry Learning for Monocular 3D Textured Human Reconstruction

Figure 1. Comparisons with the SOTA Methods in Monocular 3D Textured Human Reconstruction. Existing SOTA methods struggle with recovering correct human poses and intricate geometry details. SiFU [48] is unable to reconstruct correct human postures, such as incorrect left-hand positions. VS [15] performs poorly in fine-grained areas such as unclear finger movement and cloth wrinkles. SiTH [5] produces geometry and texture errors that occur from the generative model, such as the third arm on the back.