LCR-SMPL: Toward Real-time Human Detection and 3D Reconstruction from a Single RGB Image

Abstract

This paper presents a novel method for simultaneous human detection and 3D shape reconstruction from a single RGB image. It offers a low-cost alternative to existing motion capture solutions, allowing to reconstruct realistic human 3D shapes and poses by leveraging the speed of an object-detection based architecture and the extended applicability of a parametric human mesh model. Evaluation results using a synthetic dataset show that our approach is on-par with conventional 3D reconstruction methods in terms of accuracy, and outperforms them in terms of inference speed, particularly in the case of multi-person images.