Expressive Body Capture: 3D Hands, Face, And Body From A Single Image.pdf

SMPL-X.pdf
Preview of Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
🔗 Source: ps.is.tuebingen.mpg.de
📊 Size: 2.31 MB
📄 Pages: 11 pages
⬇️ Downloads: 34

Summary

Researchers propose a method to estimate a 3D model of human body pose, hand pose, and facial expression from a single monocular image. They introduce SMPL-X, a unified 3D model that extends SMPL with fully articulated hands and an expressive face, learned from thousands of 3D scans. The SMPLify-X method is used to fit the SMPL-X model to 2D features detected from images, with improvements including a new pose prior, interpenetration penalty, and gender detection. The method is evaluated on a new curated dataset with pseudo ground-truth, demonstrating accurate 3D capture of human poses, gestures, and facial expressions.

Description

Researchers propose a method to estimate a 3D model of human body pose, hand pose, and facial expression from a single monocular image.

Technical Information

  • File Format: PDF
  • File Size: 2.31 MB
  • Pages: 11
  • Language: EN
  • Total Downloads: 34
  • Last Updated: 6 months ago

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