3D Face Reconstruction With Geometry Details From a Single Color Image Under Occluded Scenes

Autor:	Zhao, Dapeng, Qi, Yue
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	3D face reconstruction technology aims to generate a face stereo model naturally and realistically. Previous deep face reconstruction approaches are typically designed to generate convincing textures and cannot generalize well to multiple occluded scenarios simultaneously. By introducing bump mapping, we successfully added mid-level details to coarse 3D faces. More innovatively, our method takes into account occlusion scenarios. Thus on top of common 3D face reconstruction approaches, we in this paper propose a unified framework to handle multiple types of obstruction simultaneously (e.g., hair, palms and glasses et al.).Extensive experiments and comparisons demonstrate that our method can generate high-quality reconstruction results with geometry details from captured facial images under occluded scenes. Comment: arXiv admin note: text overlap with arXiv:2412.18920
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.19849 Zobrazit plný text záznamu View this record from Arxiv