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

arXiv:2404.18630v1 Announce Type: new
Abstract: The studies of human clothing for digital avatars have predominantly relied on synthetic datasets. While easy to collect, synthetic data often fall short in realism and fail to capture authentic clothing dynamics. Addressing this gap, we introduce 4D-DRESS, the first real-world 4D dataset advancing human clothing research with its high-quality 4D textured scans and garment meshes. 4D-DRESS captures 64 outfits in 520 human motion sequences, amounting to 78k textured scans. Creating a real-world clothing dataset …

annotations arxiv clothing cs.cv dataset human semantic type world