89 datasets found

Groups: Human Pose Estimation Organizations: No Organization

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  • SMPL

    The SMPL model is a commonly used 3D statistical shape model of the human body. It maps pose parameters θ ∈ RP ×3 and shape parameters β ∈ R10 to a 3D mesh of the body V ∈ RN ×3.

  • OCHuman

    The OCHuman dataset is a more challenging dataset, where each human instance is heavily occluded by one or several others and the postures of the human bodies are more complex.

  • MS-COCO

    Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

  • MPI-INF-3DHP

    MPI-INF-3DHP: A Large-Scale Benchmark for 3D Human Pose Estimation in the Wild. MPI-INF-3DHP: A Large-Scale Benchmark for 3D Human Pose Estimation in the Wild. MPI-INF-3DHP: A...

  • LSP dataset

    LSP dataset: A dataset for human pose estimation and tracking in videos.

  • MPII Video Pose dataset

    MPII Video Pose dataset: A dataset for human pose estimation and tracking in videos.

  • PoseTrack

    Pose tracking is an important problem that requires identifying unique human pose-instances and matching them temporally across different frames of a video.

  • COCO

    Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

  • MSCOCO

    Human Pose Estimation (HPE) aims to estimate the position of each joint point of the human body in a given image. HPE tasks support a wide range of downstream tasks such as...