Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set

Benchmark Model Rank Results
3d-face-reconstruction-on-florenceDeng#6RMSE Cooperative: 1.60RMSE Indoor: 1.61
3d-face-reconstruction-on-florenceDeep3DFaceReconstruction#7RMSE Cooperative: 1.66RMSE Indoor: 1.66RMSE Outdoor: 1.69
3d-face-reconstruction-on-now-benchmark-1Deep3DFaceRecon PyTorch#4Median Reconstruction Error: 1.11Mean Reconstruction Error (mm): 1.41
3d-face-reconstruction-on-now-benchmark-1Deng et al. 2019#8Median Reconstruction Error: 1.23Mean Reconstruction Error (mm): 1.54
3d-face-reconstruction-on-realyDeep3D#4all: 1.657@nose: 1.719 (±0.354)@mouth: 1.368 (±0.439)
3d-face-reconstruction-on-realy-side-viewDeep3D#3all: 1.657@nose: 1.749 (±0.343)@mouth: 1.411 (±0.395)