Human volumetric capture is a long-standing topic in computer vision and
computer graphics. Although high-quality results can be achieved using
sophisticated off-line systems, real-time human volumetric capture of complex
scenarios, especially using light-weight setups, remains challenging. In this
paper, we propose a human volumetric capture method that combines temporal
volumetric fusion and deep implicit functions. To achieve high-quality and
temporal-continuous reconstruction, we propose dynamic sliding fusion to fuse
neighboring depth observations together with topology consistency. Moreover,
for detailed and complete surface generation, we propose detail-preserving deep
implicit functions for RGBD input which can not only preserve the geometric
details on the depth inputs but also generate more plausible texturing results.
Results and experiments show that our method outperforms existing methods in
terms of view sparsity, generalization capacity, reconstruction quality, and
run-time efficiency.

本文提出了一种结合时间体积融合和深度隐式函数的人体体积捕捉方法，该方法不仅可以实现高质量、连续的重建，而且可以生成包含几何细节和更加逼真的纹理结果的细节保留深度隐式函数，实验结果表明，该方法在稀疏视角、泛化能力、重建质量和运行效率方面优于现有方法。