SIFU, a novel approach, combines a Side-view Conditioned Implicit Function and a 3D Consistent Texture Refinement pipeline to reconstruct high-quality 3D clothed human meshes with detailed textures from a single input image.
This paper introduces a novel pipeline to reconstruct the complete 3D geometry of interacting multi-person in clothing on a globally coherent scene space from a single image, overcoming the challenge of occlusion.
SiTH is a novel pipeline that integrates an image-conditioned diffusion model to reconstruct high-quality and fully textured 3D human meshes from single images.