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title
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Dense Human Pose Estimation In The Wild
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site name
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2026-03-08 21:10:24
raw text
DensePose Menu Home Dataset Method Team Cite DensePose: Dense Human Pose Estimation In The Wild Announcements: DensePose task is a part of COCO and Mapillary Joint Recognition Challenge Workshop at ICCV 2019. See the challenge description and description of the new evaluation metric and the evaluation server . Dense human pose estimation aims at mapping all human pixels of an RGB image to the 3D surface of the human body. We introduce DensePose-COCO, a large-scale ground-truth dataset with image-to-surface correspondences manually annotated on 50K COCO images. We propose DensePose-RCNN, a variant of Mask-RCNN, to densely regress part-specific UV coordinates within every human region at multiple frames per second. ArXiv GitHub DensePose-COCO Dataset We involve human annotators to establish dense correspondences from 2D images to surface-based representations of the human body. If done naively, this would require by manipulating a surfa...
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9 - research.fb.com, competitions.codalab.org, smpl.is.tue.mpg.de, di.ens.fr, openaccess.thecvf.com
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