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2105.02467.pdf
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🔗 Source: arxiv.org
📊 Size: 1.97 MB
📄 Pages: 11 pages
⬇️ Downloads: 157

Summary

We propose a single-stage model, Body Meshes as Points (BMP), for multi-person 3D body mesh estimation, simplifying the pipeline and improving efficiency and performance. BMP represents multiple person instances as points in spatial-depth space, allowing direct prediction of body meshes for multiple persons by concurrently localizing person instance points and estimating corresponding body meshes. A simple yet effective inter-instance ordinal depth loss is designed to obtain depth-coherent body mesh estimation, and a novel keypoint-aware augmentation is introduced to enhance model robustness to occluded person instances. Comprehensive experiments on benchmarks Panoptic, MuPoTS-3D, and 3DPW demonstrate the state-of-the-art efficiency and accuracy of BMP for multi-person body mesh estimation.

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We propose a single-stage model, Body Meshes as Points (BMP), for multi-person 3D body mesh estimation, simplifying the pipeline and improving efficiency and...

Technical Information

  • File Format: PDF
  • File Size: 1.97 MB
  • Pages: 11
  • Language: EN
  • Total Downloads: 157
  • Last Updated: 5 hours ago

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