Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
-
Updated
Mar 24, 2023 - Python
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Generates 3D from 2D videos in multiple output formats using AI-powered depth mapping.
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.
Modular Robotics | Computer Vision 2D | Object Detection | 3D Pose Estimation
2D to 3D constructor using BKChem drawing engine
Add a description, image, and links to the 2d-3d topic page so that developers can more easily learn about it.
To associate your repository with the 2d-3d topic, visit your repo's landing page and select "manage topics."