This repository implements the PIFu (Pixel-Aligned Implicit Function) paper for high-resolution clothed human digitization. It uses deep neural networks to infer 3D geometry from 2D image inputs by learning implicit functions that map pixel-aligned features to surface representations. The codebase includes test code, training code, and data generation utilities for reproducing the ICCV 2019 paper results.