Feature Representation for High‐resolution Clothed Human Reconstruction

Simple item page
dc.contributor.authorPu, Junchengen_US
dc.contributor.authorLiu, Lien_US
dc.contributor.authorFu, Xiaodongen_US
dc.contributor.authorSu, Zhuoen_US
dc.contributor.authorLiu, Lijunen_US
dc.contributor.authorPeng, Weien_US
dc.contributor.editorHauser, Helwig and Alliez, Pierreen_US
dc.date.accessioned2023-10-06T11:58:49Z
dc.date.available2023-10-06T11:58:49Z
dc.date.issued2023
dc.description.abstractDetailed 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.en_US
dc.description.number6
dc.description.sectionheadersORIGINAL ARTICLES
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14792
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14792
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14792
dc.publisher© 2023 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.en_US
dc.subjectmodelling; geometric modelling
dc.subjectmodelling; implicit surfaces
dc.subjectmodelling; surface reconstruction
dc.titleFeature Representation for High‐resolution Clothed Human Reconstructionen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
v42i6_07_14792.pdf
Size:
3.27 MB
Format:
Adobe Portable Document Format
Download
Collections
42-Issue 6