4D-DRESS: A 4D Dataset of Real-World Human Clothing with Semantic Annotations
Wenbo Wang, Hsuan-I Ho, Chen Guo, Boxiang Rong, Artur Grigorev, Jie Song, Juan Jose Zarate, Otmar Hilliges
2024Year
5Top-tier citations
Abstract
https://ait.ethz.ch/4d-dress Figure 1 . Overview of 4D-DRESS. We propose the first real-world 4D dataset of human clothing, capturing 64 human outfits in more than 520 motion sequences. These sequences include a) high-quality 4D textured scans; for each scan, we annotate b) vertex-level semantic labels, thereby obtaining c) the corresponding garment meshes and fitted SMPL(-X) body meshes.
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Install the CLIlune papers fulltext e0306970-2c78-49f2-87cb-a839402cbaa7Cited by top-tier papers5
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