Project description

SDFEst

SDFEst is a package for pose, scale, and shape estimation using discretized signed distance fields. It includes and combines three main components (generative model, discriminative initialization, and differentiable renderer) to enable pose and shape estimation in an analysis-by-synthesis framework.

Check the GitHub page for usage instructions.

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Development Status
- 4 - Beta
Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3

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This version

0.1.1

Feb 10, 2024

0.1.0

Jul 11, 2022

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