Towards High-Fidelity Nonlinear 3D Face Morphable Model
Towards High-Fidelity Nonlinear 3D Face Morphable Model
Embedding 3D morphable basis functions into deep neural networks opens great potential for models with better representation power. However, to faithfully learn those models from an image collection, it requires strong regularization to overcome ambiguities involved in the learning process. This critically prevents us from learning high fidelity face models …