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.

2. Development Phase, Producing Transportation Data Products from the American Community Survey That Comply With Disclosure Rules

A global database of bird nest traits

10th Annual Proceedings - Fred S. Grodins Research Symposium

SHAPY

Frontiers A Practical Guide to Sparse k-Means Clustering for Studying Molecular Development of the Human Brain

Researchers From ETH Zurich And Microsoft Propose X-Avatar:, 41% OFF

Monocular 3D Human Pose Estimation

Using Building Permit Data to Improve Marketing

Samples of high capacity barcodes: (a) Data Matrix, (b) QR code, (c)

NQ (BEIR) Benchmark (Question Answering)

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Publications Perceiving Systems - Max Planck Institute for Intelligent Systems

Frontiers Cerebrovascular reactivity measurements using 3T BOLD MRI and a fixed inhaled CO2 gas challenge: Repeatability and impact of processing strategy

1. Introduction to Research Investigations, Producing Transportation Data Products from the American Community Survey That Comply With Disclosure Rules