We present a simple yet effective method to infer detailed full human body
shape from only a single photograph. Our model can infer full-body shape
including face, hair, and clothing including wrinkles at interactive
frame-rates. Results feature details even on parts that are occluded in the
input image. Our main idea is to turn shape regression into an aligned
image-to-image translation problem. The input to our method is a partial
texture map of the visible region obtained from off-the-shelf methods. From a
partial texture, we estimate detailed normal and vector displacement maps,
which can be applied to a low-resolution smooth body model to add detail and
clothing. Despite being trained purely with synthetic data, our model
generalizes well to real-world photographs. Numerous results demonstrate the
versatility and robustness of our method.

本研究提出了从单张照片推断出详细的全身人体形状的简单而有效的方法，其将形状回归转化为图像转换问题，并使用纹理图来估计细节的法线和位移图，能够将细节添加到低分辨率的光滑身体模型中，尽管仅使用合成数据进行训练，但该模型在真实世界的照片上表现良好。