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Models/3DMM-CNN

3DMM-CNN

Reported on 20 benchmarks across 5 tasks · 1 paper · 20 SOTA

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

Computer Vision8 results

  • Face ReconstructiononFlorence
    Average 3D Error· 2016-12-15
    1.93
    best: 0.95 (GANFit)
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • Face ReconstructiononNoW Benchmark
    Mean Reconstruction Error (mm)· 2016-12-15
    2.33
    best: 1.01 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • Face ReconstructiononNoW Benchmark
    Median Reconstruction Error· 2016-12-15
    1.84
    best: 0.81 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • Face ReconstructiononNoW Benchmark
    Stdev Reconstruction Error (mm)· 2016-12-15
    2.05
    best: 0.84 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • 3D Face ReconstructiononFlorence
    Average 3D Error· 2016-12-15
    1.93
    best: 0.95 (GANFit)
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • 3D Face ReconstructiononNoW Benchmark
    Mean Reconstruction Error (mm)· 2016-12-15
    2.33
    best: 1.01 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • 3D Face ReconstructiononNoW Benchmark
    Median Reconstruction Error· 2016-12-15
    1.84
    best: 0.81 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • 3D Face ReconstructiononNoW Benchmark
    Stdev Reconstruction Error (mm)· 2016-12-15
    2.05
    best: 0.84 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904

Music4 results

  • Facial Recognition and ModellingonFlorence
    Average 3D Error· 2016-12-15
    1.93
    best: 0.95 (GANFit)
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • Facial Recognition and ModellingonNoW Benchmark
    Mean Reconstruction Error (mm)· 2016-12-15
    2.33
    best: 1.01 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • Facial Recognition and ModellingonNoW Benchmark
    Median Reconstruction Error· 2016-12-15
    1.84
    best: 0.81 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • Facial Recognition and ModellingonNoW Benchmark
    Stdev Reconstruction Error (mm)· 2016-12-15
    2.05
    best: 0.84 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904

Methodology4 results

  • 3DonFlorence
    Average 3D Error· 2016-12-15
    1.93
    best: 0.95 (GANFit)
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • 3DonNoW Benchmark
    Mean Reconstruction Error (mm)· 2016-12-15
    2.33
    best: 1.01 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • 3DonNoW Benchmark
    Median Reconstruction Error· 2016-12-15
    1.84
    best: 0.81 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • 3DonNoW Benchmark
    Stdev Reconstruction Error (mm)· 2016-12-15
    2.05
    best: 0.84 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904

Medical4 results

  • 3D Face ModellingonFlorence
    Average 3D Error· 2016-12-15
    1.93
    best: 0.95 (GANFit)
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • 3D Face ModellingonNoW Benchmark
    Mean Reconstruction Error (mm)· 2016-12-15
    2.33
    best: 1.01 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • 3D Face ModellingonNoW Benchmark
    Median Reconstruction Error· 2016-12-15
    1.84
    best: 0.81 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904
  • 3D Face ModellingonNoW Benchmark
    Stdev Reconstruction Error (mm)· 2016-12-15
    2.05
    best: 0.84 (DenseLandmarks (Multi-view))
    SOTA
    Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural NetworkarXiv:1612.04904