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2106.05965.pdf
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🔗 Source: arxiv.org
📊 Size: 22.63 MB
👤 Author: Kieran Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
⬇️ Downloads: 316

Summary

Researchers propose Implicit-PDF, a method to estimate non-parametric distributions on the rotation manifold SO(3) for 3D pose estimation, addressing uncertainty and symmetric objects. The approach represents distributions implicitly with a neural network, allowing for grid sampling or gradient ascent to find the most likely pose and evaluate probability at any pose. This method is highly expressive, handling complex distributions over 3D poses, and achieves state-of-the-art performance on Pascal3D+ and ModelNet10-SO(3) benchmarks.

Description

Researchers propose Implicit-PDF, a method to estimate non-parametric distributions on the rotation manifold SO(3) for 3D pose estimation, addressing...

Technical Information

  • File Format: PDF
  • File Size: 22.63 MB
  • Pages: 22
  • Language: EN
  • Author: Kieran Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia
  • Total Downloads: 316
  • Last Updated: 2 hours ago

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