Real-World Applications for PIFuHD: In 3D Digitization of Humans

This paper presents applications of Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization (PIFuHD), a novel approach for high-resolution 3D human digitization from single images. The objective is to reconstruct detailed object images. The approach employed in PIFuHD utilizes a multi-level pixel-aligned implicit function, enabling comprehensive analysis of both global context and intricate local details. This methodology aims to achieve detailed and high-resolution 3D reconstructions of clothed individuals from single images, eliminating the need for supplementary post-processing or extra contextual information. The key findings are that the multi-level approach is needed for accurate and precise reconstructions. This paper aims to explore future work based on the recommendation of the authors for PIFuHD, to explore PIFu's versatility extends to computer animation, virtual try-on, medical imaging, and numerous applications in forensic science, Augmented Reality (AR), Virtual Reality (VR), Human-Computer Interaction (HCI), offering precision and customization potential across various industries.