This paper presents a novel approach for generating high-quality 3D human models from a single input image

This paper presents a novel approach for generating high-quality 3D human models from a single input image. The method leverages a deep learning-based architecture to estimate the 3D shape and pose of the human subject, enabling the reconstruction of detailed 3D models. The proposed technique demonstrates improved performance compared to existing methods, making it a promising solution for various applications in computer vision and graphics.