Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
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Updated
Mar 24, 2023 - Python
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.
A Perspective-n-Points-and-Lines method.
The **2D to 3D Image Converter** project showcases the intersection of artificial intelligence and 3D modeling, providing a powerful tool for converting simple 2D images into dynamic 3D representations.
Modular Robotics | Computer Vision 2D | Object Detection | 3D Pose Estimation
2D to 3D constructor using BKChem drawing engine
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