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Models/GANFit

GANFit

Reported on 10 benchmarks across 5 tasks · 1 paper · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Face ReconstructiononFlorence
Average 3D Error· 2019-02-15
0.95
SOTA
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction arXiv:1902.05978
3D Face ReconstructiononFlorence
Average 3D Error· 2019-02-15
0.95
SOTA
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction arXiv:1902.05978
Face ReconstructiononREALY
all· 2019-02-15
1.868
best: 2.953 (N-3DMM)
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction arXiv:1902.05978
3D Face ReconstructiononREALY
all· 2019-02-15
1.868
best: 2.953 (N-3DMM)
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction arXiv:1902.05978

Music2 results

Facial Recognition and ModellingonFlorence
Average 3D Error· 2019-02-15
0.95
SOTA
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction arXiv:1902.05978
Facial Recognition and ModellingonREALY
all· 2019-02-15
1.868
best: 2.953 (N-3DMM)
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction arXiv:1902.05978

Methodology2 results

3DonFlorence
Average 3D Error· 2019-02-15
0.95
SOTA
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction arXiv:1902.05978
3DonREALY
all· 2019-02-15
1.868
best: 2.953 (N-3DMM)
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction arXiv:1902.05978

Medical2 results

3D Face ModellingonFlorence
Average 3D Error· 2019-02-15
0.95
SOTA
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction arXiv:1902.05978
3D Face ModellingonREALY
all· 2019-02-15
1.868
best: 2.953 (N-3DMM)
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction arXiv:1902.05978