Self-Supervised 3D Face Reconstruction via Conditional Estimation
Author:
Affiliation:
1. Carnegie Mellon University
2. University of Cambridge
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711089.pdf?arnumber=9711089
Reference49 articles.
1. Mofa: Model-based deep convolutional face autoencoder for unsupervised monocular reconstruction;tewari;Proceedings of the IEEE International Conference on Computer Vision Workshops,2017
2. Self-Supervised Multi-level Face Model Learning for Monocular Reconstruction at Over 250 Hz
3. SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'
4. Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
5. Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision
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