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Models/PRNet

PRNet

Reported on 35 benchmarks across 5 tasks · 1 paper · 25 SOTA

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

Computer Vision14 results

Face ReconstructiononStirling-LQ (FG2018 3D face reconstruction challenge)
Mean Reconstruction Error (mm)· 2018-03-21
2.38
best: 1.91 (DECA)
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Face ReconstructiononStirling-HQ (FG2018 3D face reconstruction challenge)
Mean Reconstruction Error (mm)· 2018-03-21
2.06
best: 1.89 (DECA)
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Face ReconstructiononNoW Benchmark
Mean Reconstruction Error (mm)· 2018-03-21
1.98
best: 1.01 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Face ReconstructiononNoW Benchmark
Median Reconstruction Error· 2018-03-21
1.5
best: 0.81 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Face ReconstructiononNoW Benchmark
Stdev Reconstruction Error (mm)· 2018-03-21
1.88
best: 0.84 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ReconstructiononStirling-LQ (FG2018 3D face reconstruction challenge)
Mean Reconstruction Error (mm)· 2018-03-21
2.38
best: 1.91 (DECA)
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ReconstructiononStirling-HQ (FG2018 3D face reconstruction challenge)
Mean Reconstruction Error (mm)· 2018-03-21
2.06
best: 1.89 (DECA)
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ReconstructiononNoW Benchmark
Mean Reconstruction Error (mm)· 2018-03-21
1.98
best: 1.01 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ReconstructiononNoW Benchmark
Median Reconstruction Error· 2018-03-21
1.5
best: 0.81 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ReconstructiononNoW Benchmark
Stdev Reconstruction Error (mm)· 2018-03-21
1.88
best: 0.84 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Face ReconstructiononREALY
all· 2018-03-21
2.013
best: 2.953 (N-3DMM)
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Face ReconstructiononREALY (side-view)
all· 2018-03-21
2.032
best: 2.476 (ExpNet)
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ReconstructiononREALY
all· 2018-03-21
2.013
best: 2.953 (N-3DMM)
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ReconstructiononREALY (side-view)
all· 2018-03-21
2.032
best: 2.476 (ExpNet)
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835

Music7 results

Facial Recognition and ModellingonStirling-LQ (FG2018 3D face reconstruction challenge)
Mean Reconstruction Error (mm)· 2018-03-21
2.38
best: 1.91 (DECA)
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Facial Recognition and ModellingonStirling-HQ (FG2018 3D face reconstruction challenge)
Mean Reconstruction Error (mm)· 2018-03-21
2.06
best: 1.89 (DECA)
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Facial Recognition and ModellingonNoW Benchmark
Mean Reconstruction Error (mm)· 2018-03-21
1.98
best: 1.01 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Facial Recognition and ModellingonNoW Benchmark
Median Reconstruction Error· 2018-03-21
1.5
best: 0.81 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Facial Recognition and ModellingonNoW Benchmark
Stdev Reconstruction Error (mm)· 2018-03-21
1.88
best: 0.84 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Facial Recognition and ModellingonREALY
all· 2018-03-21
2.013
best: 2.953 (N-3DMM)
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
Facial Recognition and ModellingonREALY (side-view)
all· 2018-03-21
2.032
best: 2.476 (ExpNet)
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835

Methodology7 results

3DonStirling-LQ (FG2018 3D face reconstruction challenge)
Mean Reconstruction Error (mm)· 2018-03-21
2.38
best: 1.91 (DECA)
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3DonStirling-HQ (FG2018 3D face reconstruction challenge)
Mean Reconstruction Error (mm)· 2018-03-21
2.06
best: 1.89 (DECA)
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3DonNoW Benchmark
Mean Reconstruction Error (mm)· 2018-03-21
1.98
best: 1.01 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3DonNoW Benchmark
Median Reconstruction Error· 2018-03-21
1.5
best: 0.81 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3DonNoW Benchmark
Stdev Reconstruction Error (mm)· 2018-03-21
1.88
best: 0.84 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3DonREALY
all· 2018-03-21
2.013
best: 2.953 (N-3DMM)
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3DonREALY (side-view)
all· 2018-03-21
2.032
best: 2.476 (ExpNet)
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835

Medical7 results

3D Face ModellingonStirling-LQ (FG2018 3D face reconstruction challenge)
Mean Reconstruction Error (mm)· 2018-03-21
2.38
best: 1.91 (DECA)
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ModellingonStirling-HQ (FG2018 3D face reconstruction challenge)
Mean Reconstruction Error (mm)· 2018-03-21
2.06
best: 1.89 (DECA)
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ModellingonNoW Benchmark
Mean Reconstruction Error (mm)· 2018-03-21
1.98
best: 1.01 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ModellingonNoW Benchmark
Median Reconstruction Error· 2018-03-21
1.5
best: 0.81 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ModellingonNoW Benchmark
Stdev Reconstruction Error (mm)· 2018-03-21
1.88
best: 0.84 (DenseLandmarks (Multi-view))
SOTA
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ModellingonREALY
all· 2018-03-21
2.013
best: 2.953 (N-3DMM)
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835
3D Face ModellingonREALY (side-view)
all· 2018-03-21
2.032
best: 2.476 (ExpNet)
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network arXiv:1803.07835