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.
python computer-vision python3 face flame 3d-reconstruction face-reconstruction face-alignment triplet-loss 3d-data 3d-face-alignment 2d-3d 3d-mesh benchmark-datasets 3d-landmarks flame-model single-image-reconstruction now-evaluation face-reconstruction-challenge
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Updated
Mar 2, 2023 - Python