Estimation of naked human shape is essential in several applications such as virtual try-on. We propose an approach that estimates naked human 3D pose and shape, including non-skeletal shape information such as musculature and fat distribution, from a single RGB image. The proposed approach optimizes a parametric 3D human model using person silhouettes with clothing category, and statistical displacement models between clothed and naked body shapes associated with each clothing category. Experiments demonstrate that our approach estimates human shape more accurately than a prior method.

中文翻译：

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从单个RGB图像估计衣服下的3D人体形状

在诸如虚拟试穿等多种应用中，裸露的人体形状的估计至关重要。我们提出了一种方法，可以从单个RGB图像估计裸露的人类3D姿势和形状，包括非骨骼形状信息，例如肌肉和脂肪分布。所提出的方法使用具有服装类别的人物剪影以及与每个服装类别相关的衣服和裸身形状之间的统计位移模型来优化参数3D人体模型。实验表明，我们的方法比以前的方法更准确地估计人的身材。