DensePose: Dense Human Pose Estimation In The Wild

In this work, we establish dense correspondences between RGB image and a surface-based representation of the human body, a task we refer to as dense human pose estimation. We first gather dense correspondences for 50K persons appearing in the COCO dataset by introducing an efficient annotation pipeline... (read more)

PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract

Datasets


Introduced in the Paper:

DensePose

Mentioned in the Paper:

COCO MPII SURREAL

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Pose Estimation DensePose-COCO DensePose + keypoints AP 55.8 # 2

Methods used in the Paper


METHOD TYPE
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