DiGS-Avatar: Single-Image Animatable 3D Human Reconstruction via UV-Space Diffusion
DiGS-Avatar is proposed, which reformulates this task as an efficient, diffusion-based UV-latent completion task, ensuring 3D consistency by design, and introduces a teacher-student framework where a multi-view teacher provides geometrically aligned pseudo-ground-truth latents to supervise a single-view diffusion student.