论文标题

3DBooster:3D身体形状和纹理恢复

3DBooSTeR: 3D Body Shape and Texture Recovery

论文作者

Saint, Alexandre, Kacem, Anis, Cherenkova, Kseniya, Aouada, Djamila

论文摘要

我们提出了3DBooster,这是一种从纹理部分3D扫描中恢复纹理3D身体网格的新方法。随着虚拟和增强现实的出现,需要建立现实且高保真的数字3D人类代表。但是,由于其复杂性,3D扫描系统只能捕获3D人体形状,直至一定程度的缺陷,包括身体部位之间的遮挡,各种细节,形状变形和铰接式骨骼。因此,纹理的3D网格完成对于增强3D采集很重要。提出的方法将形状和纹理完成分解为两个顺序任务。形状是通过编码器网络变形模板主网来恢复的。随后,通过将部分纹理投射到模板网格上,然后以新颖的方法为相应的纹理映射,从而获得纹理。该方法已在3DBodyTex.v2数据集上进行了验证。

We propose 3DBooSTeR, a novel method to recover a textured 3D body mesh from a textured partial 3D scan. With the advent of virtual and augmented reality, there is a demand for creating realistic and high-fidelity digital 3D human representations. However, 3D scanning systems can only capture the 3D human body shape up to some level of defects due to its complexity, including occlusion between body parts, varying levels of details, shape deformations and the articulated skeleton. Textured 3D mesh completion is thus important to enhance 3D acquisitions. The proposed approach decouples the shape and texture completion into two sequential tasks. The shape is recovered by an encoder-decoder network deforming a template body mesh. The texture is subsequently obtained by projecting the partial texture onto the template mesh before inpainting the corresponding texture map with a novel approach. The approach is validated on the 3DBodyTex.v2 dataset.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源