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SotA/Methodology/3D/NoW Benchmark

3D on NoW Benchmark

Metric: Mean Reconstruction Error (mm) (lower is better)

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#Model↕Mean Reconstruction Error (mm)▲AugmentationsPaperDate↕Code
1DenseLandmarks (Multi-view)1.01No3D face reconstruction with dense landmarks2022-04-06-
2MICA1.11NoTowards Metrical Reconstruction of Human Faces2022-04-13Code
3DenseLandmarks (Single-view)1.28No3D face reconstruction with dense landmarks2022-04-06-
4FOCUS1.3NoRobust Model-based Face Reconstruction through W...2021-06-17Code
5DECA1.38NoLearning an Animatable Detailed 3D Face Model fr...2020-12-07Code
6Deep3DFaceRecon PyTorch1.41NoAccurate 3D Face Reconstruction with Weakly-Supe...2019-03-20Code
7PIXIE1.49NoCollaborative Regression of Expressive Bodies us...2021-05-11Code
8RingNet1.53NoLearning to Regress 3D Face Shape and Expression...2019-05-16Code
9FLAME template1.53No--Code
10Deng et al. 20191.54NoAccurate 3D Face Reconstruction with Weakly-Supe...2019-03-20Code
113DDFA_V21.57NoTowards Fast, Accurate and Stable 3D Dense Face ...2020-09-21Code
12Dib et al. 20211.57NoTowards High Fidelity Monocular Face Reconstruct...2021-03-29-
13SynergyNet1.59NoSynergy between 3DMM and 3D Landmarks for Accura...2021-10-19Code
14MGCNet1.87NoSelf-Supervised Monocular 3D Face Reconstruction...2020-07-24Code
15UMDFA1.89No--Code
16PRNet1.98NoJoint 3D Face Reconstruction and Dense Alignment...2018-03-21Code
173DMM-CNN2.33NoRegressing Robust and Discriminative 3D Morphabl...2016-12-15Code