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