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+#3D Face
+
+## Surveys & Doctoral Thesis
+
+- Face Image Analysis using a Multiple Features Fitting Strategy(2005, Basel)
+
+- 3D Face Modelling for 2D+3D Face Recognition(2007, Surrey)
+
+- Image Based 3D Face Reconstruction: A Survey(IJIG2009, Georgios Stylianou, Andreas Lanitis, EUC, CUT) 
+
+  `early 3D facial acquisition approaches`
+
+- animation reconstruction of deformable surfaces(2010, Hao Li, ETHz)
+
+- Inverse Rendering of Faces with a 3D Morphable Model(2012, Oswald Aldrian, York)
+
+- Digital Geometry Processing Theory and Applications(2012, Kun Zhou, Zhengjiang, 中文)
+
+- ***State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications*** 
+
+  **State of the Art on 3D Reconstruction with RGB-D Cameras**(EG2018, MZ, CT, MPI, Stanford, TUM, Disney, Technicolor, UEN) [[talks]](http://web.stanford.edu/~zollhoef/papers/EG18_FaceSTAR/page.html)
+
+  
+
+## Papers & Codes
+
+### Reconstruction&3D Alignment&Correspondences
+
+#### 1998 - 2015
+
+
+- A Morphable Model For The Synthesis Of 3D Faces
+
+     (SIGGRAPH1998, [V Blanz](https://scholar.google.com.hk/citations?user=jYCidWgAAAAJ&hl=zh-CN&oi=sra), [T Vetter](https://scholar.google.com.hk/citations?user=HKLgZpYAAAAJ&hl=zh-CN&oi=sra) , MPI) 
+
+     `3dmm,analysis-by-synthesis(cascaded, coarse to fine, using texture information), mid-detail `
+
+- Efficient, Robust and Accurate Fitting of a 3D Morphable Model
+
+     (ICCV2003, S Romdhani, [T Vetter](https://scholar.google.com.hk/citations?user=HKLgZpYAAAAJ&hl=zh-CN&oi=sra) , Basel) 
+
+     `3dmm, fitting Algorithm needs: Efficient, Robust, Accurate, Automatic. Mid-detail`
+
+- Estimating 3D Shape and Texture Using Pixel Intensity, Edges, Specular Highlights, Texture Constraints and a Prior
+
+   (CVPR2005, S Romdhani, [T Vetter](https://scholar.google.com.hk/citations?user=HKLgZpYAAAAJ&hl=zh-CN&oi=sra) , Basel)
+
+   `3dmm, multiple features`
+
+- A 3D Face Model for Pose and Illumination Invariant Face Recognition
+
+  (AVSS2009, Paysan, P., Knothe, R., Amberg, B., Romdhani, S., & Vetter, T. , Basel) [[data](BFM)](https://faces.cs.unibas.ch/bfm/)
+
+- 3D Face Reconstruction from a Single Image Using a Single Reference Face Shape
+
+     (TPAMI2011, [I Kemelmacher-Shlizerman](https://scholar.google.com.hk/citations?user=P97vI1EAAAAJ&hl=zh-CN&oi=sra), Basri R, UW)
+
+     `template, sfs, texture information, mid-detail`
+
+- Face Reconstruction in the Wild
+
+     (ICCV2011, Kemelmacher-Shlizerman I, Seitz S M , UW)
+
+     `collection, sparse correspondence, warp template,  low-rank approximation(photometric stereo, for expression normalization), mid-detail `
+
+- A FACS Valid 3D Dynamic Action Unit Database with Applications to 3D Dynamic Morphable Facial Modeling
+
+     (ICCV2011, Cosker D, Krumhuber E, Hilton A. , UofSurrey)
+
+     `aam, expression`
+
+- Viewing Real-World Faces in 3D
+
+     (ICCV2013, [T Hassner](https://scholar.google.com.hk/citations?user=ehe5pyIAAAAJ&hl=zh-CN&oi=sra), Open U Israel)
+
+     `template, sparse correspondence, pose adjustment, depth optimization(SIFT)  ` 
+
+- Improving 3D Face Details based on Normal Map of Hetero-source Images
+
+  (CVPRW2014, Yang, C., Chen, J., Su, N., & Su, G. , Tsinghua University)
+
+- Total Moving Face Reconstruction
+
+   (LNCS2014, Suwajanakorn S, Kemelmacher-Shlizerman I, Seitz S M. , Washington)
+
+   `video(collections), template, average shape, pose estimation, 3d flow(correspondence), refinement, high-detail `
+
+- FaceWarehouse: a 3D Facial Expression Database for Visual Computing
+
+  (VCG2014, Cao, C., Weng, Y., Zhou, S., Tong, Y., & Zhou, K., Zhejiang) [[data]]()
+
+- Intrinsic Face Image Decomposition with Human Face Priors
+
+  (ECCV2014, Li C, Zhou K, Lin S , Zhejiang)
+
+- Fitting 3D Morphable Models using Local Features
+
+  (ICIP2015, Huber, P., Feng, Z. H., Christmas, W., Kittler, J., & Ratsch, M, Surrey)
+
+   `sparse correspondence, 3dmm, regression`
+
+- What Makes Tom Hanks Look Like Tom Hanks
+
+  (ICCV2015, Suwajanakorn S, Seitz S M, Kemelmacher-Shlizerman I. , Washington)
+
+  `collection, template, average model, 3D flow, correspondence, deformation vector, TPS, expression sililarity weighted, high-frequency details, Laplacian pyramid      `
+
+- Unconstrained Realtime Facial Performance Capture
+
+  (CVPR2015, Hsieh, P. L., Ma, C., Yu, J., & Li, H. , USC)
+
+  `video,image collections, occlusion, segmentation, landmarks `
+
+- Unconstrained 3D Face Reconstruction
+
+  (CVPR2015, Roth, J., Tong, Y., & Liu, X, MSU)
+
+  `collection, sparse correspondence(landmarks), template, photometric stereo(SVD), matrix completion,  `
+
+- Pose-Invariant 3D Face Alignment
+
+  (ICCV2015, Jourabloo, A., & Liu, X., MSU)
+
+  `alignment, dense correspondence, visibility, cascaded regressor, 3DPDM. `
+
+- Discriminative 3D Morphable Model Fitting
+
+  (CVPR2015)
+
+
+
+#### 2016 
+
+**#CVPR**
+
+* Large-pose Face Alignment via CNN-based Dense 3D Model Fitting
+
+  (CVPR2016, Jourabloo, A., & Liu, X., MSU)
+
+   `alignment, 3dmm `
+
+* Automated 3D Face Reconstruction from Multiple Images using Quality Measures
+
+  (CVPR2016, Piotraschke, M., & Blanz, V , Siegen)
+
+* A Robust Multilinear Model Learning Framework for 3D Faces
+
+  (CVPR2016, Bolkart, T., & Wuhrer, S., Saarland)
+
+* Face Alignment Across Large Poses: A 3D Solution
+
+  (CVPR2016, Zhu, X., Lei, Z., Liu, X., Shi, H., & Li, S. Z. , MSU, CASIA)
+
+* Adaptive 3D Face Reconstruction from Unconstrained Photo Collections
+
+  (CVPR2016, Roth, J., Tong, Y., & Liu, X, MSU)
+
+   `landmarks, 3dmm, coarse-to-fine,photometric stereo, time: 7 minutes  `
+
+* Augmented Blendshapes for Real-time Simultaneous 3D Head Modeling and Facial Motion Capture
+
+  (CVPR2016, Thomas, D., & Taniguchi, R. I. , Kyushu University)
+
+* A 3D Morphable Model learnt from 10,000 faces
+
+  (CVPR2016, Booth, J., Roussos, A., Zafeiriou, S., Ponniah, A., & Dunaway, D., ICL)
+
+**#ECCV**
+
+* Joint Face Alignment and 3D Face Reconstruction
+
+  (ECCV2016, Liu, F., Zeng, D., Zhao, Q., & Liu, X, MSU, Sichuan U) 
+
+  `alignment, landmarks`
+
+* Real-Time Facial Segmentation and Performance Capture from RGB Input
+
+  (ECCV2016, Saito, S., Li, T., & Li, H. , USC)
+
+   `occlusions, tracking` 
+
+**#Others**
+
+- 3D Face Reconstruction by Learning from Synthetic Data
+
+  (3DV2016, Richardson, E., Sela, M., & Kimmel, R, IIT)
+
+   `3dmm, cnn, regress 3dmm parameters, sfs`
+
+- Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization
+
+  (3DV2016, Maninchedda, F., Häne, C., Oswald, M. R., & Pollefeys, M., ETH)
+
+- A Multiresolution 3D Morphable Face Model and Fitting Framework  [[code]](https://github.com/patrikhuber/eos)
+
+  (IJCV2016, Huber, P., Hu, G., Tena, R., Mortazavian, P., Koppen, P., Christmas, W. J., ... & Kittler, J. ，Surrey)
+
+- Rapid Photorealistic Blendshape Modeling from RGB-D Sensors
+
+  (2016, USC)
+
+- 3D Face Reconstruction with Region Based Best Fit Blending Using Mobile Phone for Virtual Reality Based Social Media
+
+  (2016, Anbarjafari, G., Haamer, R. E., Lusi, I., Tikk, T., & Valgma, L. , Turkey)
+
+  `landmarks, uv texture, region`
+
+
+
+#### 2017
+
+**#CVPR**
+
+* 3D Face Morphable Models “In-the-Wild”  
+
+  (CVPR2017, Booth, J., Antonakos, E., Ploumpis, S., Trigeorgis, G., Panagakis, Y., & Zafeiriou, S., ICL)
+
+   `3dmm, register, UV`
+
+* Face Normals “in-the-wild” using Fully Convolutional Networks
+
+  (CVPR2017, Trigeorgis, G., Snape, P., Kokkinos, I., & Zafeiriou, S. , ICL)
+
+* Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
+
+  (CVPR2017, Tran, A. T., Hassner, T., Masi, I., & Medioni, G. , USC)
+
+* Fast 3D Reconstruction of Faces with Glasses
+
+  (CVPR2017, Maninchedda, F., Oswald, M. R., & Pollefeys, M., ETH)
+
+* DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
+
+  (CVPR2017, Güler, R. A., Trigeorgis, G., Antonakos, E., Snape, P., Zafeiriou, S., & Kokkinos, I. , ICL)
+
+  `dense correspondence, uv`
+
+* Learning Detailed Face Reconstruction from a Single Image
+
+  (CVPR2017, Richardson, E., Sela, M., Or-El, R., & Kimmel, R. , Washington)
+
+* End-to-end 3D face reconstruction with deep neural networks
+
+  (CVPR2017, Dou, P., Shah, S. K., & Kakadiaris, I. A., UofHouston)
+
+  `3dmm, dl, directly learn 3dmm parameters`
+
+* A Generative Model for Depth-based Robust 3D Facial Pose Tracking
+
+  (CVPR2017, Cai, L. S. J., Pavlovic, T. J. C. V., & Ngan, K. N. , CUHK) 
+
+   `occlusions` 
+
+**#ICCV**
+
+* 3D Morphable Models as Spatial Transformer Networks
+
+   (ICCV2017, Bas, A., Huber, P., Smith, W. A., Awais, M., & Kittler, J. , York, Surrey )
+
+   `dl, cnn, uv texture, landmarks, stn, 3dmm`
+
+* Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses
+
+  (ICCV2017, Bhagavatula, C., Zhu, C., Luu, K., & Savvides, M., CMU)
+
+* Pose-Invariant Face Alignment with a Single CNN
+
+  (ICCV2017, Jourabloo, A., Ye, M., Liu, X., & Ren, L. , MSU)
+
+  `alignment, 3dmm, dl, cnn`
+
+* Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression [code](https://github.com/AaronJackson/vrn)
+
+  (ICCV2017, Jackson, A. S., Bulat, A., Argyriou, V., & Tzimiropoulos, G. , Nottingham)
+
+  `end-to-end, 3dmm, dl, cnn, landmarks, voxel  ` 
+
+* Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
+
+  (ICCV2017, Sela, M., Richardson, E., & Kimmel, R. , IIT)
+
+* MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
+
+   (ICCV2017, Tewari, A., Zollhöfer, M., Kim, H., Garrido, P., Bernard, F., Pérez, P., & Theobalt, C. , MPI)
+
+* Dense Face Alignment [code](http://cvlab.cse.msu.edu/project-pifa.html)
+
+   (ICCVW2017, Liu, Y., Jourabloo, A., Ren, W., & Liu, X. , MSU)
+
+* Realtime Dynamic 3D Facial Reconstruction for Monocular Video In-the-Wild
+
+   (ICCVW2017) 
+
+* Learning Dense Facial Correspondences in Unconstrained Images
+
+  (ICCV2017, Yu, R., Saito, S., Li, H., Ceylan, D., & Li, H.  , USC)
+
+  `dense correspondence`
+
+**#others**
+
+* Large Scale 3D Morphable Models [[data](LSFM)](https://faces.cs.unibas.ch/bfm/)
+
+  (IJCV2017, Booth, J., Roussos, A., Ponniah, A., Dunaway, D., & Zafeiriou, S. , ICL) 
+
+  `for alignment, template, cnn, dl, sparse correspondence, landmarks, tps warping `
+
+* What does 2D geometric information really tell us about 3D face shape?  (2017, Bas, A., & Smith, W. A )
+
+  `shape from landmarks, shape from contours`
+
+* Pix2Face: Direct 3D Face Model Estimation
+
+   (2017)
+
+   `dense correspondence, 3dmm`
+
+* 3D Face Reconstruction with Geometry Details from a Single Image
+
+   (TIP2017, Jiang, L., Zhang, J., Deng, B., Li, H., & Liu, L. , USC, USTC)
+
+   `coarse-to-fine, landmarks, corrective deformatio, sfs  `
+
+   
+
+#### 2018
+
+**#CVPR**
+
+* Unsupervised Training for 3D Morphable Model Regression  [code](https://github.com/google/tf_mesh_renderer)
+
+  (CVPR2018, Genova, K., Cole, F., Maschinot, A., Sarna, A., Vlasic, D., & Freeman, W. T , Google)
+
+- 4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications  [data]( )
+
+  (CVPR2018, Cheng, S., Kotsia, I., Pantic, M., & Zafeiriou, S., ICL) 
+
+- Sparse Photometric 3D Face Reconstruction Guided by Morphable Models
+
+  (CVPR2018, Cao, X., Chen, Z., Chen, A., Chen, X., Li, S., & Yu, J.  , shanghaitech)
+
+  `5 input images, 3dmm, shadow processing, light calibration, photometric stereo, denoising `
+
+- Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
+
+  (CVPR2018, Liu, F., Zhu, R., Zeng, D., Zhao, Q., & Liu, X. , MSU, Sichuan)
+
+- Mesoscopic Facial Geometry Inference Using Deep Neural Networks
+
+  (CVPR2018, Hao Li, USC)
+
+  `high-detail, dl, scan, uv texture, displacement `
+
+- Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz
+
+  (CVPR2018, Tewari, A., Zollhöfer, M., Garrido, P., Bernard, F., Kim, H., Pérez, P., & Theobalt, C., MPI)
+
+- SfSNet : Learning Shape, Reflectance and Illuminance of Faces in the Wild
+
+  (CVPR2018, Sengupta, S., Kanazawa, A., Castillo, C. D., & Jacobs, D.  , Maryland, UCB )
+
+- Probabilistic Joint Face-Skull Modelling for Facial Reconstruction
+
+  (CVPR2018, Madsen, D., Lüthi, M., Schneider, A., & Vetter, T. , Basel)
+
+- Alive Caricature from 2D to 3D
+
+  (CVPR2018, Wu, Q., Zhang, J., Lai, Y. K., Zheng, J., & Cai, J, USTC)
+
+- Nonlinear 3D Face Morphable Model
+
+  (CVPR2018, Tran, L., & Liu, X. , MSU)
+
+- InverseFaceNet: Deep Monocular Inverse Face Rendering
+
+  (CVPR2018, Kim, H., Zollhöfer, M., Tewari, A., Thies, J., Richardt, C., & Theobalt, C. , MPI)
+
+  `Self-Supervised Bootstrapping`
+
+- Extreme 3D Face Reconstruction: Looking Past Occlusions
+
+  (CVPR2018, Tran, A. T., Hassner, T., Masi, I., Paz, E., Nirkin, Y., & Medioni, G. , USC)
+
+- Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies
+
+  (CVPR2018, best student paper, Joo, H., Simon, T., & Sheikh, Y. , CMU)
+
+- Modeling Facial Geometry using Compositional VAEs
+
+  (CVPR2018, Bagautdinov, T., Wu, C., Saragih, J., Fua, P., & Sheikh, Y., EPEL, FRL )
+
+**#ECCV**
+
+* 3D Face Reconstruction from Light Field Images: A Model-free Approach
+
+   (ECCV2018, Feng, M., Gilani, S. Z., Wang, Y., & Mian, A., Western Australia, Hunan)
+
+   `epopolar plane images`
+
+* Generating 3D Faces using Convolutional Mesh Autoencoders [[code]](https://github.com/anuragranj/coma)
+
+   (ECCV2018, Ranjan, A., Bolkart, T., Sanyal, S., & Black, M. J., MPI)
+
+* Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network [[code]](https://github.com/YadiraF/PRNet)
+
+   (ECCV2018, Feng, Y., Wu, F., Shao, X., Wang, Y., & Zhou, X., SJTU)
+
+**#others**
+
+* Morphable Face Models - An Open Framework
+
+   (FG2018, Gerig, T., Morel-Forster, A., Blumer, C., Egger, B., Luthi, M., Schönborn, S., & Vetter, T. , Basel)
+
+* CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images [[data&code]](https://github.com/Juyong/3DFace)
+
+   (TPAMI2018, Yudong Guo, Juyong Zhang, Jianfei Cai, Boyi Jiang, Jianmin Zheng, USTC)
+
+* Multilinear Autoencoder for 3D Face Model Learning(WACV 2018,  Universite Grenoble Alpes (LJK), France)
+
+   `3d scan to registered mesh. dl. height map  `
+
+* On Face Segmentation, Face Swapping, and Face Perception(AFGR,2018, HT)
+
+* Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild(FG2018) [data]( )
+
+**#arxiv**
+
+* Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition(2017, Feng Liu, Xiaoming Liu)
+
+* Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment(20180317)
+
+* Unsupervised Depth Estimation, 3D Face Rotation and Replacement(20180325)
+
+
+
+
+### Production-level Reconstruction
+
+> more in computer graphics  
+
+1. **High-Quality Single-Shot Capture of Facial Geometry**(TOG2010, ETHZ, Disney)
+
+   `cg, high-detail,stereo system, calibration, surface refinement, normal direction, mesoscopic  `
+
+2. Multiview Face Capture using Polarized Spherical Gradient Illumination(TOG2011)
+
+   `image collecitons`
+
+3. High-Quality Passive Facial Performance Capture using Anchor Frames(SIGGRAPH2011, ETHZ, Disney)
+
+   `cg, stereo,anchor frame, tracking, mesh progration, physical movement, motion estimation, refinement `
+
+4. Lightweight binocular facial perfor- mance capture under uncontrolled lighting(TOG2012, MPI)
+
+   `cg, high-detail, stereo, template,flow,data term, geometry term, smoothness term, mesh tracking, motion refinement, shape refinement, sfs  `
+
+5. Reconstructing Detailed Dynamic Face Geometry from Monocular Video(TOG2013,  MPI)
+
+   `cg, dynamic, high-detail, blend model, sparse correspondence, dense correspondence(appearance matching, LBP), pose estimation , shape refinement, sfs   `
+
+6. 3D Shape Regression for Real-time Facial Animation(TOG2013, ZJU)
+
+7. Real-Time High-Fidelity Facial Performance Capture (TOG2015, ZJU)
+
+   `cg, landmarks, optical flow, train a regressor to learn detail  `
+
+8. Dynamic 3D Avatar Creation from Hand-held Video Input(TOG2015,  EPEL)
+
+   `cg, dynamic, mobile, high-detail, avatar, 3dmm,sparse correspondence, eye mesh, tracking, refinement, sfs, detail map     ` 
+
+9. Reconstruction of Personalized 3D Face Rigs from Monocular Video(TOG2016,  MPI)
+
+   `parametric shape prior, coarse-scale reconstruction, fine-scale(sfs), coase->medium->fine, 3dmm, corrective   `
+
+10. Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks（ASCA2017,  USC)
+
+11. Multi-View Stereo on Consistent Face Topology(EG2017, USC)
+
+    `cg, high-detail, landmarks, template, pose estimation, refinement`
+
+12. Avatar Digitization From a Single Image For Real-Time Rendering(SIGGRAPH Asia 2017, USC)
+
+    `cg, avatar, segmentation, head, hair, 3DMM, landmarks, texture completion   `
+
+13. Learning a model of facial shape and expression from 4D scans(TOG2017, USC, MPI)
+
+14. DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling(SIGGRAPH2017)  
+
+15. High-Fidelity Facial Reflectance and Geometry Inference From an Unconstrained Image(SIGGRAPH2018, USC)
+
+    
+
+### Texture
+
+> 3D-aid texture generation/ UV texture completion  
+> Keys: GAN
+
+1. Face Synthesis from Facial Identity Features(CVPR2017, google)
+
+   `3dmm, dl, landmarks`
+
+2. Photorealistic Facial Texture Inference Using Deep Neural Networks(CVPR2017, Hao Li, USC)
+
+   `texture completion`
+
+3. UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition(CVPR2018, SZ, ICL)
+
+   `gan, 3dmm, uv texture completion`
+
+4. Multi-Attribute Robust Component Analysis for Facial UV Maps(2017, SZ, ICL)
+
+5. Realistic Dynamic Facial Textures from a Single Image using GANs(CVPR2017, Hao Li, USC, DeepMind)
+
+6. Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model(2018)
+
+7. Side Information for Face Completion: a Robust PCA Approach(20180120, SZ, ICL)
+
+  ​    
+
+### Transfer&Reenactment(Applications)
+
+1. Face Transfer with Multilinear Models (SIGGRAPH2005)
+
+   `Cartesian product(ID x EX x VI)`
+
+2. Online Modeling For Realtime Facial Animation(TOG2013)
+
+   `rgbd, blendshape, corrective field `
+
+3. Displaced Dynamic Expression Regression for Real-time Facial Tracking and Animation(SIGGRAPH2014)
+
+4. Real-time Expression Transfer for Facial Reenactment(SIGGRAPH AISA 2015)
+
+5. Face2Face: Real-time Face Capture and Reenactment of RGB Videos(CVPR2016)
+
+   `capture, transfer, 3dmm, landmarks, texture, expression, mouth retrieval `
+
+6. Synthesizing Obama: Learning Lip Sync from Audio(SIGGRAPH2017)
+
+7. Deep Video Portrait(SIGGRAPH2018)
+
+8. HeadOn: Real-time Reenactment of Human Portrait Videos(SIGGRAPH2018)
+
+
+
+### 3D-aid 2D face recognition
+
+1. Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification(ECCV2012, Columbia University)
+
+2. Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics(PAMI2006)
+
+3. 3D-aided face recognition robust to expression and pose variations (CVPR2014)
+
+4. Effective 3D based Frontalization for Unconstrained Face Recognition(ICPR2016, MICC, Florence)
+
+5. Effective Face Frontalization in Unconstrained Images(CVPR2015, TH, Israel)
+
+6. Do We Really Need to Collect Millions of Faces for Effective Face Recognition(ECCV2016, TH, USC, Israel)
+
+7. High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild(CVPR2015)
+
+8. When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition(2017)
+
+9. Towards Large-Pose Face Frontalization in the Wild    
+
+10. Fully Automatic Pose-Invariant Face Recognition via 3D Pose Normalization   (ICCV2011, Cambridge, MA, USA)
+
+
+   
+
+### 3D face recognition
+
+1. Face Identification across Different Poses and Illuminations with a 3D Morphable Model(Automatic Face and Gesture Recognition2002, VB&TV)
+
+2. Preliminary Face Recognition Grand Challenge Results(2006)
+
+3. expression Invariant 3D Face Recognition with a Morphable Model(FG2008, TV, Basel)
+
+4. Bosphorus Database for 3D Face Analysis(2008)[data]()
+
+5. Robust Learning from Normals for 3D face recognition(ECCV2012, SZ, ICL)
+
+6. Static and dynamic 3D facial expression recognition: A comprehensive survey(IVC2012, SZ, LijunYin)
+
+7. Deep 3D Face Identification(2017, USC)
+
+8. Robust Face Recognition with Deeply Normalized Depth Images (2018)
+
+   `depth image(front&neural)`
+
+9. Learning from Millions of 3D Scans for Large-scale 3D Face Recognition(CVPR2018, Western Australia) 
+