Feature Representation for High‐resolution Clothed Human Reconstruction

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Date
2023
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© 2023 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.
Abstract
Detailed and accurate feature representation is essential for high‐resolution reconstruction of clothed human. Herein we introduce a unified feature representation for clothed human reconstruction, which can adapt to changeable posture and various clothing details. The whole method can be divided into two parts: the human shape feature representation and the details feature representation. Specifically, we firstly combine the voxel feature learned from semantic voxel with the pixel feature from input image as an implicit representation for human shape. Then, the details feature mixed with the clothed layer feature and the normal feature is used to guide the multi‐layer perceptron to capture geometric surface details. The key difference from existing methods is that we use the clothing semantics to infer clothed layer information, and further restore the layer details with geometric height. We qualitative and quantitative experience results demonstrate that proposed method outperforms existing methods in terms of handling limb swing and clothing details. Our method provides a new solution for clothed human reconstruction with high‐resolution details (style, wrinkles and clothed layers), and has good potential in three‐dimensional virtual try‐on and digital characters.
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@article{
10.1111:cgf.14792
, journal = {Computer Graphics Forum}, title = {{
Feature Representation for High‐resolution Clothed Human Reconstruction
}}, author = {
Pu, Juncheng
and
Liu, Li
and
Fu, Xiaodong
and
Su, Zhuo
and
Liu, Lijun
and
Peng, Wei
}, year = {
2023
}, publisher = {
© 2023 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.14792
} }
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