Single-View Clothed Human Reconstruction using Symmetric Feature

Abstract

Single-view clothed human reconstruction has emerged as a prominent research focus, yet reconstructing the occluded backside of the human body remains a significant challenge due to viewpoint limitations and occlusion. In this paper, we propose a novel single-view clothed human reconstruction method that leverages non-rigid symmetric features guidance to effectively mitigate these challenges. Firstly, we utilize the natural symmetry of the human body to construct the non-rigid symmetry through the parametric human body model SMPL-X. Secondly, these symmetric-driven features are then used to enhance the pixel-aligned features, enabling a more precise and complete reconstruction. Finally, we introduce an innovative occupancy query selector that intelligently identifies and prioritizes the most relevant features during the query stage to further improve the quality of reconstruction. Experimental results demonstrate that the proposed method can achieve better reconstruction results, especially in occluded areas.