Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

Benchmark Model Rank Results
3d-face-reconstruction-on-florence3DMM-CNN#5Average 3D Error: 1.93
3d-face-reconstruction-on-florenceTran et al.#9RMSE Cooperative: 1.97RMSE Indoor: 2.03RMSE Outdoor: 1.93
3d-face-reconstruction-on-now-benchmark-13DMM-CNN#14Median Reconstruction Error: 1.84Mean Reconstruction Error (mm): 2.33
face-verification-on-youtube-faces-db3DMM face shape parameters + CNN#12Accuracy: 88.80%