HBW Dataset Papers With Code

Human Bodies in the Wild (HBW) is a validation and test set for body shape estimation. It consists of images taken in the wild and ground truth 3D body scans in SMPL-X topology. To create HBW, we collect body scans of 35 participants and register the SMPL-X model to the scans. Further each participant is photographed in various outfits and poses in front of a white background and uploads full-body photos of themselves taken in the wild. The validation and test set images are released. The ground truth shape is only released for the validation set.

GitHub - muelea/shapy: CVPR 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.

PDF) Familydemic Cross Country and Gender Dataset on work and family outcomes during COVID-19 pandemic

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The pseudo code of AGPSO algorithm.

MHP v2.0 Benchmark (Multi-Human Parsing)

APPS Dataset Papers With Code

CDS2K Dataset Papers With Code

KU Today & Tomorrow 2022-2023 by Sunflower Publishing - Issuu

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