Epipolar Transformers (best paper award, CVPR 2020 workshop)
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Updated
May 2, 2024 - Jupyter Notebook
Epipolar Transformers (best paper award, CVPR 2020 workshop)
Multi-View Operating Room (MVOR) dataset consists of synchronized multi-view frames recorded by three RGB-D cameras in a hybrid OR during real clinical interventions. We provide camera calibration parameters, color and depth frames, human bounding boxes, and 2D/3D pose annotations. The MVOR was released in the MICCAI-LABELS 2018 workshop.
3D Pose Estimation of Two Interacting Hands from a Monocular Event Camera [3DV'24]
This instruction will help you to pre-process the Human3.6M dataset
An implementation of 3D human pose estimation based on 2D keypoints in images
A 100% compatiable SMPL,SMPL-H,SMPL-X model implemention in C++ with CUDA support. Same api with python smplx.
Population-specific RGB-to-MANO 3D hand mesh reconstruction using DINOv2, 2D landmark graph features, cross-attention, and specialist foundation-model ensembling for Korean hand morphology.
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