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Learned 3D representations of human faces are useful for computer vision problems such as 3D face tracking and reconstruction from images, as well as graphics applications such as character generation and animation.
Chung, F.R.K.: Spectral graph theory. No. 92, American Mathematical Soc. (1997)
1997
Earlier work this paper cites.
Garland, M., Heckbert, P.S.: Surface simplification using quadric error metrics. In: Proceedings of the 24th annual conference on Computer graphics and interactive techniques. pp. 209–216. ACM Press/Addison-Wesley Publishing Co. (1997)
1997
Earlier work this paper cites.
Blanz, V., Vetter, T.: A morphable model for the synthesis of 3D faces. In: SIGGRAPH. pp. 187–194 (1999)
1999
Earlier work this paper cites.
Vlasic, D., Brand, M., Pfister, H., Popović, J.: Face transfer with multilinear models. Transactions on Graphics 24
2005
Earlier work this paper cites.
2006
Earlier work this paper cites.
Amberg, B., Knothe, R., Vetter, T.: Expression invariant 3D face recognition with a morphable model. In: International Conference on Automatic Face Gesture Recognition. pp. 1–6 (2008)
2008
Earlier work this paper cites.
Bronstein, A.M., Bronstein, M.M., Kimmel, R.: Numerical geometry of non-rigid shapes. Springer Science & Business Media (2008)
2008
Earlier work this paper cites.
Savran, A., Alyuöz, N., Dibeklioglu, H., Celiktutan, O., Gökberk, B., Sankur, B., Akarun, L.: Bosphorus database for 3D face analysis. In: Biometrics and Identity Management. pp. 47–56 (2008)
2008
Earlier work this paper cites.
Yin, L., Chen, X., Sun, Y., Worm, T., Reale, M.: A high-resolution 3D dynamic facial expression database. In: International Conference on Automatic Face and Gesture Recognition. pp. 1–6 (2008)
2008
Earlier work this paper cites.
Paysan, P., Knothe, R., Amberg, B., Romdhani, S., Vetter, T.: A 3D face model for pose and illumination invariant face recognition. In: International Conference on Advanced Video and Signal Based Surveillance. pp. 296–301 (2009)
2009
Earlier work this paper cites.
Li, H., Weise, T., Pauly, M.: Example-based facial rigging 29
2010
Earlier work this paper cites.
Breidt, M., Bülthoff, H.H., Curio, C.: Robust semantic analysis by synthesis of 3D facial motion. In: International Conference on Automatic Face and Gesture Recognition and Workshops. pp. 713–719 (2011)
2011
Earlier work this paper cites.
Cosker, D., Krumhuber, E., Hilton, A.: A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling. In: International Conference on Computer Vision. pp. 2296–2303 (2011)
2011
Earlier work this paper cites.
Glorot, X., Bordes, A., Bengio, Y.: Deep sparse rectifier neural networks. In: Fourteenth International Conference on Artificial Intelligence and Statistics (2011)
2011
Earlier work this paper cites.
Hammond, D.K., Vandergheynst, P., Gribonval, R.: Wavelets on graphs via spectral graph theory. Applied and Computational Harmonic Analysis 30
2011
Earlier work this paper cites.
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: Machine learning in Python. Journal of Machine Learning Research 12
2011
Earlier work this paper cites.
Yang, F., Wang, J., Shechtman, E., Bourdev, L., Metaxas, D.: Expression flow for 3D-aware face component transfer. Transactions on Graphics 30
2011
Earlier work this paper cites.
Bouaziz, S., Wang, Y., Pauly, M.: Online modeling for realtime facial animation. ACM Transactions on Graphics 32
2013
Cited alongside, same era.
2013
Cited alongside, same era.
Neumann, T., Varanasi, K., Wenger, S., Wacker, M., Magnor, M., Theobalt, C.: Sparse localized deformation components. Transactions on Graphics (Proceedings of SIGGRAPH Asia) 32
2013
Cited alongside, same era.
Brunton, A., Bolkart, T., Wuhrer, S.: Multilinear wavelets: A statistical shape space for human faces. In: European Conference on Computer Vision. pp. 297–312 (2014)
2014
Cited alongside, same era.
Brunton, A., Salazar, A., Bolkart, T., Wuhrer, S.: Review of statistical shape spaces for 3D data with comparative analysis for human faces. Computer Vision and Image Understanding 128
2016
Later among the works it cites.
2016
Later among the works it cites.
Sinha, A., Bai, J., Ramani, K.: Deep learning 3D shape surfaces using geometry images. In: European Conference on Computer Vision. pp. 223–240 (2016)
2016
Later among the works it cites.
Thies, J., Zollhöfer, M., Stamminger, M., Theobalt, C., Nießner, M.: Face2Face: Real-time face capture and reenactment of rgb videos. In: Conference on Computer Vision and Pattern Recognition. pp. 2387–2395 (2016)
2016
Later among the works it cites.
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2014
Cited alongside, same era.
Cao, C., Weng, Y., Zhou, S., Tong, Y., Zhou, K.: Facewarehouse: A 3D facial expression database for visual computing. Transactions on Visualization and Computer Graphics 20
2014
Cited alongside, same era.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: Advances in neural information processing systems. pp. 2672–2680 (2014)
2014
Cited alongside, same era.
Taigman, Y., Yang, M., Ranzato, M., Wolf, L.: Deepface: Closing the gap to human-level performance in face verification. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1701–1708 (2014)
2014
Cited alongside, same era.
Boscaini, D., Masci, J., Melzi, S., Bronstein, M.M., Castellani, U., Vandergheynst, P.: Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks. In: Eurographics Symposium on Geometry Processing. pp. 13–23 (2015)
2015
Cited alongside, same era.
Ferrari, C., Lisanti, G., Berretti, S., Bimbo, A.D.: Dictionary learning based 3D morphable model construction for face recognition with varying expression and pose. In: International Conference on 3D Vision. pp. 509–517 (2015)
2015
Cited alongside, same era.
2015
Cited alongside, same era.
Masci, J., Boscaini, D., Bronstein, M., Vandergheynst, P.: Geodesic convolutional neural networks on Riemannian manifolds. In: International Conference on Computer Vision Workshops. pp. 37–45 (2015)
2015
Cited alongside, same era.
Booth, J., Roussos, A., Ponniah, A., Dunaway, D., Zafeiriou, S.: Large scale 3D morphable models. International Journal of Computer Vision pp. 1–22 (2017)
2017
Later among the works it cites.
Bronstein, M.M., Bruna, J., LeCun, Y., Szlam, A., Vandergheynst, P.: Geometric deep learning: going beyond euclidean data. Signal Processing Magazine 34
2017
Later among the works it cites.
Jackson, A.S., Bulat, A., Argyriou, V., Tzimiropoulos, G.: Large pose 3D face reconstruction from a single image via direct volumetric CNN regression. International Conference on Computer Vision (2017)
2017
Later among the works it cites.
Li, T., Bolkart, T., Black, M.J., Li, H., Romero, J.: Learning a model of facial shape and expression from 4D scans. ACM Transactions on Graphics 36
2017
Later among the works it cites.
2017
Later among the works it cites.
Maron, H., Galun, M., Aigerman, N., Trope, M., Dym, N., Yumer, E., Kim, V.G., Lipman, Y.: Convolutional neural networks on surfaces via seamless toric covers. ACM Transactions on Graphics 36
2017
Later among the works it cites.
Monti, F., Boscaini, D., Masci, J., Rodolà, E., Svoboda, J., Bronstein, M.M.: Geometric deep learning on graphs and manifolds using mixture model CNNs (2017)
2017
Later among the works it cites.
Tewari, A., Zollöfer, M., Kim, H., Garrido, P., Bernard, F., Perez, P., C., T.: MoFA: Model-based deep convolutional face autoencoder for unsupervised monocular reconstruction. In: International Conference on Computer Vision (2017)
2017
Later among the works it cites.
2017
Later among the works it cites.
Yi, L., Su, H., Guo, X., Guibas, L.J.: SyncSpecCNN: Synchronized spectral CNN for 3d shape segmentation (2017)
2017
Later among the works it cites.
Fernández A., V., Wuhrer, S., Boyer, E.: Multilinear Autoencoder for 3D Face Model Learning. In: Winter Conference on Applications of Computer Vision. pp. 1–9 (2018)
2018
Closest in time.
Tran, A.T., Hassner, T., Masi, I., Paz, E., Nirkin, Y., Medioni, G.: Extreme 3D face reconstruction: Looking past occlusions. In: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) (2018)
2018
Closest in time.