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Papers Benchmarks Datasets Tasks

3D Face Reconstruction research benchmarks · SOTA2 Research

3D Face Reconstruction

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

NoW face challenge (test)

0.9Median Error (mm)

38

Feb 26, 2026

REALY (frontal-view)

1.275Overall Error

34

Feb 26, 2026

0.032NME

26

Feb 26, 2026

1.036Nose Error

21

Jun 29, 2026

1.09Median Error (mm)

17

Feb 26, 2026

0.351Mean Error

16

Feb 26, 2026

MICC Florence 3D Faces (Indoor)

0.94Mean Error (mm)

13

Feb 26, 2026

NeRSemble-SVFR (Posed)

1.37L1 Error

10

Feb 26, 2026

NeRSemble-SVFR (Neutral)

1.54L1 Error

9

Feb 26, 2026

58.09R Eye Error

9

Feb 26, 2026

1.28Mean Error

8

Jul 8, 2026

3DFAW frontal faces

0.66Depth Correlation

8

Feb 26, 2026

Dense Landmarks

1.42Mean Error (mm)

7

Feb 26, 2026

MICC Cooperative

Dense Landmarks

1.43Mean Error (mm)

7

Feb 26, 2026

0.697Cosine Similarity

7

Feb 26, 2026

1.624Median Error (mm)

7

Feb 26, 2026

D_real Capture (test)

1.53V2V Mean (mm)

6

Jun 1, 2026

Voxceleb2 single images Source

33.41PSNR

6

Feb 26, 2026

Voxceleb2 video sequences (Source)

Light Decoupling

30.67PSNR

6

Feb 26, 2026

BU-3DFE v1 (test)

1.55Mean Point-to-Point RMSE (mm)

6

Feb 26, 2026

1.93MAE

6

Feb 26, 2026

FaceWarehouse Region-S (180 meshes of 9 subjects)

Garrido et al. [15]

1.59Mean Reconstruction Error (mm)

6

Feb 26, 2026

benchmark High-Quality (HQ) 1.0

1.58Median Error (mm)

6

Feb 26, 2026

MICC Florence 3D Faces (Outdoor)

0.94Mean Error (mm)

6

Feb 26, 2026

MICC Cooperative Florence 3D Faces

0.95Mean Error (mm)

6

Feb 26, 2026

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