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Numpy, TensorFlow and PyTorch implementation of SMPL model. For C++ implementation (with PyTorch), please see this repo.
The main features of calciferzh/smpl are: Human Pose Datasets.
Projects with overlapping indexed features include: gulvarol/surreal — Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev and Cordelia Schmid, Learning… jin-s13/coco-wholebody — This is the official repo for ECCV2020 paper "Whole-Body Human Pose Estimation in the Wild". The slides of this work… kennymckormick/triplet-representation-of-human-body — This repo is for paper "TRB: A Novel Triplet Representation for 2D Human Human Body Understanding".. The repo contains…
Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev and Cordelia Schmid, Learning from Synthetic Humans, CVPR 2017.
This is the official repo for ECCV2020 paper "Whole-Body Human Pose Estimation in the Wild". The slides of this work can be found in Slides. The repo contains COCO-WholeBody annotations proposed in this paper. Note that in our ECCV paper, all experiments are conducted on COCO-WholeBody V0.5. We…
This repo is for paper "TRB: A Novel Triplet Representation for 2D Human Human Body Understanding".. The repo contains contour keypoints annotations of MPII dataset used in this paper.