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Each sequence contains its corresponding models.\r\n* 18 3D models in different clothing variations.\r\n\r\nSource: [https://virtualhumans.mpi](http://virtualhumans.mpi-inf.mpg.de/3DPW)\r\nImage Source: [https://virtualhumans.mpi](http://virtualhumans.mpi-inf.mpg.de/3DPW)","description_withheld":null,"homepage":"http://virtualhumans.mpi-inf.mpg.de/3DPW","introduced_date":"2018-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/recovering-accurate-3d-human-pose-in-the-wild","title":"Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera","first_author":"Timo von Marcard","url":null},"license":{"name":"Custom (research-only, non-commercial)","url":"http://virtualhumans.mpi-inf.mpg.de/3DPW/license.html"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"3D Human Pose Estimation","url":"/task/3d-human-pose-estimation","datasets_with_task":"/datasets/task/3d-human-pose-estimation"},{"name":"Hand Pose Estimation","url":"/task/hand-pose-estimation","datasets_with_task":"/datasets/task/hand-pose-estimation"},{"name":"Human Pose Forecasting","url":"/task/human-pose-forecasting","datasets_with_task":"/datasets/task/human-pose-forecasting"},{"name":"Cross-domain 3D Human Pose Estimation","url":"/task/cross-domain-3d-human-pose-estimation","datasets_with_task":"/datasets/task/cross-domain-3d-human-pose-estimation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["3DPW"],"data_loaders":[],"num_papers_in_archive":395,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-human-pose-estimation-on-3dpw","task":"3D Human Pose Estimation","dataset_variant":"3DPW","rows":119,"metrics":["MPVPE","PA-MPJPE","MPJPE","Acceleration Error","FLOPs (G)","Number of parameters (M)"],"first_row_in_archive_order":{"model":"ExtPose (-a, T=16)","paper":"/paper/extpose-robust-and-coherent-pose-estimation","metrics":{"MPJPE":"54.2","MPVPE":"67.5","PA-MPJPE":"34.0"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/human-pose-forecasting-on-3dpw","task":"Human Pose Forecasting","dataset_variant":"3DPW","rows":7,"metrics":["Average MPJPE (mm) 1000 msec","FDE@1000ms (mm)","FDE@560ms (mm)","FDE@720ms (mm)","FDE@880ms (mm)"],"first_row_in_archive_order":{"model":"STS-GCN","paper":"/paper/space-time-separable-graph-convolutional-1","metrics":{"Average MPJPE (mm) 1000 msec":"42.3"},"code_links":[{"title":"fraluca/stsgcn","url":"https://github.com/fraluca/stsgcn"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/hand-pose-estimation-on-3dpw","task":"Hand Pose Estimation","dataset_variant":"3DPW","rows":1,"metrics":["MPJPE"],"first_row_in_archive_order":{"model":"Hand4Whole","paper":"/paper/pose2pose-3d-positional-pose-guided-3d","metrics":{"MPJPE":"86.6"},"code_links":[{"title":"mks0601/Hand4Whole_RELEASE","url":"https://github.com/mks0601/Hand4Whole_RELEASE"}]},"note":"rows are the archive's own order at snapshot; 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