Metrically Accurate 3D Human Avatars from Silhouette Images

In recent years, the demand for realistic human avatars has escalated across diverse industries, ranging from gaming and virtual or augmented reality to fashion and healthcare.Creating an accurate, lifelike virtual duplicate of a human subject requires a precise reconstruction of anthropometric measurements from the real body to the rendered body model.In this paper, we propose a novel pipeline for 3D human body model reconstruction from a set of two input images.Our method generates metrically accurate virtual human avatars, based on body measurements extracted from an input image.Our approach is capable of parameterizing the generated mesh with body measurements and yields accurate results.To augment the metrically accurate body meshes, we introduce a pipeline for generating textured clothes to enhance user virtual experience.As part of our work, we generated a synthetic dataset that serves as a foundation for further enhancing the training process by extracting anthropometric measurements from an input photo.This dataset contains over one million files derived from 120,000 virtual avatars that can extend existing real datasets.