{"url":"/dataset/4d-dress","name":"4D-DRESS","full_name":"A 4D Dataset of Real-world Human Clothing with Semantic Annotations","description_markdown":"4D-DRESS is 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. Totally, 4D-DRESS captures dynamic motions of 4 dresses, 28 lower, 30 upper, and 32 outer garments. For each garment, we also provide its canonical template mesh to benefit the future human clothing study.","description_withheld":null,"homepage":"https://ait.ethz.ch/4d-dress","introduced_date":"2024-04-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/4d-dress-a-4d-dataset-of-real-world-human","title":"4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations","first_author":"Wenbo Wang","url":null},"license":{"name":"ETH","url":"https://4d-dress.ait.ethz.ch/"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"3d meshes","url":"/datasets/modality/3d-meshes"}],"tasks":[{"name":"3D Human Reconstruction","url":"/task/3d-human-reconstruction","datasets_with_task":"/datasets/task/3d-human-reconstruction"},{"name":"Human Parsing","url":"/task/human-parsing","datasets_with_task":"/datasets/task/human-parsing"},{"name":"Physical Simulations","url":"/task/physical-simulations","datasets_with_task":"/datasets/task/physical-simulations"},{"name":"Garment Reconstruction","url":"/task/garment-reconstruction","datasets_with_task":"/datasets/task/garment-reconstruction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["4D-DRESS"],"data_loaders":[{"repo":"https://github.com/eth-ait/4d-dress","url":"https://github.com/eth-ait/4d-dress","frameworks":[]}],"num_papers_in_archive":23,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-human-reconstruction-on-4d-dress","task":"3D Human Reconstruction","dataset_variant":"4D-DRESS","rows":22,"metrics":["Chamfer (cm)","Normal Consistency","IoU"],"first_row_in_archive_order":{"model":"SCANimate_Inner","paper":"/paper/scanimate-weakly-supervised-learning-of","metrics":{"Chamfer (cm)":"0.965","IoU":" 0.918","Normal Consistency":"0.854"},"code_links":[{"title":"shunsukesaito/SCANimate","url":"https://github.com/shunsukesaito/SCANimate"},{"title":"tingtingliao/mvphuman","url":"https://github.com/tingtingliao/mvphuman"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/physical-simulations-on-4d-dress","task":"Physical Simulations","dataset_variant":"4D-DRESS","rows":12,"metrics":["Chamfer (cm)","Stretching Energy"],"first_row_in_archive_order":{"model":"NCS_Lower","paper":"/paper/neural-cloth-simulation","metrics":{"Chamfer (cm)":"1.716","Stretching Energy":"0.017"},"code_links":[{"title":"hbertiche/NeuralClothSim","url":"https://github.com/hbertiche/NeuralClothSim"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/garment-reconstruction-on-4d-dress","task":"Garment Reconstruction","dataset_variant":"4D-DRESS","rows":9,"metrics":["Chamfer (cm)","IOU"],"first_row_in_archive_order":{"model":"BCNet_Upper","paper":"/paper/bcnet-learning-body-and-cloth-shape-from-a","metrics":{"Chamfer (cm)":"2.079","IOU":"0.700"},"code_links":[{"title":"jby1993/BCNet","url":"https://github.com/jby1993/BCNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/human-parsing-on-4d-dress","task":"Human Parsing","dataset_variant":"4D-DRESS","rows":6,"metrics":["mAcc","mIoU"],"first_row_in_archive_order":{"model":"Graphonomy_Inner","paper":"/paper/graphonomy-universal-image-parsing-via-graph","metrics":{"mAcc":"0.968","mIoU":"0.859"},"code_links":[{"title":"Gaoyiminggithub/Graphonomy","url":"https://github.com/Gaoyiminggithub/Graphonomy"},{"title":"Gaoyiminggithub/Graphonomy-Panoptic","url":"https://github.com/Gaoyiminggithub/Graphonomy-Panoptic"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/sith-single-view-textured-human","title":"SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion","date":"2023-11-27","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/x-avatar-expressive-human-avatars","title":"X-Avatar: Expressive Human Avatars","date":"2023-03-08","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/vid2avatar-3d-avatar-reconstruction-from","title":"Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition","date":"2023-02-22","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":0,"samples_unverified":7,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/hood-hierarchical-graphs-for-generalized","title":"HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics","date":"2022-12-14","rows_on_this_dataset":4,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/econ-explicit-clothed-humans-obtained-from","title":"ECON: Explicit Clothed humans Optimized via Normal integration","date":"2022-12-14","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/neural-cloth-simulation","title":"Neural Cloth Simulation","date":"2022-12-13","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/3d-clothed-human-reconstruction-in-the-wild","title":"3D Clothed Human Reconstruction in the Wild","date":"2022-07-20","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/selfrecon-self-reconstruction-your-digital","title":"SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video","date":"2022-01-30","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/icon-implicit-clothed-humans-obtained-from","title":"ICON: Implicit Clothed humans Obtained from Normals","date":"2021-12-16","rows_on_this_dataset":2,"code_links":2,"syntology":null},{"paper":"/paper/cdgnet-class-distribution-guided-network-for","title":"CDGNet: Class Distribution Guided Network for Human Parsing","date":"2021-11-28","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/snarf-differentiable-forward-skinning-for","title":"SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes","date":"2021-04-08","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":2,"samples_unverified":7,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/scanimate-weakly-supervised-learning-of","title":"SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks","date":"2021-04-07","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":3,"samples_unverified":6,"pointer_only_for_licence":9,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/smplicit-topology-aware-generative-model-for","title":"SMPLicit: Topology-aware Generative Model for Clothed People","date":"2021-03-11","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/graphonomy-universal-image-parsing-via-graph","title":"Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer","date":"2021-01-26","rows_on_this_dataset":2,"code_links":2,"syntology":null},{"paper":"/paper/physically-based-neural-simulator-for-garment","title":"PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformation","date":"2020-12-21","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/pamir-parametric-model-conditioned-implicit","title":"PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction","date":"2020-07-08","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/pifuhd-multi-level-pixel-aligned-implicit","title":"PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization","date":"2020-04-01","rows_on_this_dataset":2,"code_links":3,"syntology":null},{"paper":"/paper/bcnet-learning-body-and-cloth-shape-from-a","title":"BCNet: Learning Body and Cloth Shape from A Single Image","date":"2020-04-01","rows_on_this_dataset":3,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/self-correction-for-human-parsing","title":"Self-Correction for Human Parsing","date":"2019-10-22","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/pifu-pixel-aligned-implicit-function-for-high","title":"PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization","date":"2019-05-13","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":7,"samples_harvested":34,"samples_ran":11,"samples_unverified":23,"pointer_only_for_licence":11,"papers_with_no_sample_that_ran":2,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}