89 datasets found

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.

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.

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

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

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

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...

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...