4D-DRESS: A 4D Dataset of Real-World Human Clothing with Semantic Annotations

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.