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3D-controllable portrait synthesis has significantly advanced, thanks to breakthroughs in generative adversarial networks (GANs).
Parke, F.I.: A parametric model for human faces. The University of Utah (1974)
1974
Earlier work this paper cites.
Blanz, V., Vetter, T.: A morphable model for the synthesis of 3d faces. In: Proceedings of the 26th annual conference on Computer graphics and interactive techniques. pp. 187–194 (1999)
1999
Earlier work this paper cites.
Huang, G.B., Ramesh, M., Berg, T., Learned-Miller, E.: Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Tech. Rep. 07-49, University of Massachusetts, Amherst (October 2007)
2007
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: 2009 sixth IEEE international conference on advanced video and signal based surveillance. pp. 296–301. Ieee (2009)
2009
Earlier work this paper cites.
Gross, R., Matthews, I., Cohn, J., Kanade, T., Baker, S.: Multi-pie. Image and vision computing
2010
Earlier work this paper cites.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. Advances in neural information processing systems
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 770–778 (2016)
2016
Earlier work this paper cites.
Bulat, A., Tzimiropoulos, G.: How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks). In: International Conference on Computer Vision (2017)
2017
Earlier work this paper cites.
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems
2017
Earlier work this paper cites.
Huang, R., Zhang, S., Li, T., He, R.: Beyond face rotation: Global and local perception gan for photorealistic and identity preserving frontal view synthesis. In: Proceedings of the IEEE international conference on computer vision. pp. 2439–2448 (2017)
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Li, T., Bolkart, T., Black, M.J., Li, H., Romero, J.: Learning a model of facial shape and expression from 4d scans. ACM Trans. Graph
2017
Earlier work this paper cites.
Richardson, E., Sela, M., Or-El, R., Kimmel, R.: Learning detailed face reconstruction from a single image. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1259–1268 (2017)
2017
Earlier work this paper cites.
Saito, S., Wei, L., Hu, L., Nagano, K., Li, H.: Photorealistic facial texture inference using deep neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 5144–5153 (2017)
2017
Earlier work this paper cites.
Sela, M., Richardson, E., Kimmel, R.: Unrestricted facial geometry reconstruction using image-to-image translation. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 1576–1585 (2017)
2017
Earlier work this paper cites.
Tran, L., Yin, X., Liu, X.: Disentangled representation learning gan for pose-invariant face recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1415–1424 (2017)
2017
Earlier work this paper cites.
Bao, J., Chen, D., Wen, F., Li, H., Hua, G.: Towards open-set identity preserving face synthesis. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 6713–6722 (2018)
2018
Earlier work this paper cites.
Booth, J., Roussos, A., Ponniah, A., Dunaway, D., Zafeiriou, S.: Large scale 3d morphable models. International Journal of Computer Vision
2018
Earlier work this paper cites.
Choi, Y., Choi, M., Kim, M., Ha, J.W., Kim, S., Choo, J.: Stargan: Unified generative adversarial networks for multi-domain image-to-image translation pp. 8789–8797 (2018)
2018
Earlier work this paper cites.
Genova, K., Cole, F., Maschinot, A., Sarna, A., Vlasic, D., Freeman, W.T.: Unsupervised training for 3d morphable model regression. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 8377–8386 (2018)
2018
Cited alongside, same era.
Pumarola, A., Agudo, A., Martinez, A.M., Sanfeliu, A., Moreno-Noguer, F.: Ganimation: Anatomically-aware facial animation from a single image. In: Proceedings of the European conference on computer vision (ECCV). pp. 818–833 (2018)
2018
Cited alongside, same era.
Sengupta, S., Kanazawa, A., Castillo, C.D., Jacobs, D.W.: Sfsnet: Learning shape, reflectance and illuminance of facesin the wild’. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 6296–6305 (2018)
2018
Cited alongside, same era.
Shen, Y., Luo, P., Yan, J., Wang, X., Tang, X.: Faceid-gan: Learning a symmetry three-player gan for identity-preserving face synthesis. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 821–830 (2018)
Yaniv, J., Newman, Y., Shamir, A.: The face of art: landmark detection and geometric style in portraits. ACM Transactions on graphics (TOG)
2019
Later among the works it cites.
Zhou, H., Hadap, S., Sunkavalli, K., Jacobs, D.W.: Deep single-image portrait relighting. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 7194–7202 (2019)
2019
Later among the works it cites.
Abdal, R., Qin, Y., Wonka, P.: Image2stylegan++: How to edit the embedded images? In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8296–8305 (2020)
2020
Later among the works it cites.
Deng, Y., Yang, J., Chen, D., Wen, F., Tong, X.: Disentangled and controllable face image generation via 3d imitative-contrastive learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5154–5163 (2020)
2020
Later among the works it cites.
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2018
Cited alongside, same era.
Slossberg, R., Shamai, G., Kimmel, R.: High quality facial surface and texture synthesis via generative adversarial networks. In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops. pp. 0–0 (2018)
2018
Cited alongside, same era.
Xiao, T., Hong, J., Ma, J.: Elegant: Exchanging latent encodings with gan for transferring multiple face attributes. In: Proceedings of the European conference on computer vision (ECCV). pp. 168–184 (2018)
2018
Cited alongside, same era.
Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 586–595 (2018)
2018
Cited alongside, same era.
Zhao, J., Cheng, Y., Xu, Y., Xiong, L., Li, J., Zhao, F., Jayashree, K., Pranata, S., Shen, S., Xing, J., et al.: Towards pose invariant face recognition in the wild. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 2207–2216 (2018)
2018
Cited alongside, same era.
Abdal, R., Qin, Y., Wonka, P.: Image2stylegan: How to embed images into the stylegan latent space? In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 4432–4441 (2019)
2019
Cited alongside, same era.
Deng, J., Guo, J., Xue, N., Zafeiriou, S.: Arcface: Additive angular margin loss for deep face recognition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4690–4699 (2019)
2019
Cited alongside, same era.
Deng, Y., Yang, J., Xu, S., Chen, D., Jia, Y., Tong, X.: Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. pp. 0–0 (2019)
2019
Cited alongside, same era.
Gecer, B., Ploumpis, S., Kotsia, I., Zafeiriou, S.: Ganfit: Generative adversarial network fitting for high fidelity 3d face reconstruction. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1155–1164 (2019)
2019
Cited alongside, same era.
Ghosh, P., Gupta, P.S., Uziel, R., Ranjan, A., Black, M.J., Bolkart, T.: Gif: Generative interpretable faces. In: 2020 International Conference on 3D Vision (3DV). pp. 868–878. IEEE (2020)
2020
Later among the works it cites.
2020
Later among the works it cites.
Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.: Analyzing and improving the image quality of stylegan. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8110–8119 (2020)
2020
Later among the works it cites.
Kowalski, M., Garbin, S.J., Estellers, V., Baltrušaitis, T., Johnson, M., Shotton, J.: Config: Controllable neural face image generation. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XI 16. pp. 299–315. Springer (2020)
2020
Later among the works it cites.
Tewari, A., Elgharib, M., Bernard, F., Seidel, H.P., Pérez, P., Zollhöfer, M., Theobalt, C.: Pie: Portrait image embedding for semantic control. ACM Transactions on Graphics (TOG)
2020
Later among the works it cites.
Tewari, A., Elgharib, M., Bharaj, G., Bernard, F., Seidel, H.P., Pérez, P., Zollhofer, M., Theobalt, C.: Stylerig: Rigging stylegan for 3d control over portrait images. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 6142–6151 (2020)
2020
Later among the works it cites.
Ververas, E., Zafeiriou, S.: Slidergan: Synthesizing expressive face images by sliding 3d blendshape parameters. International Journal of Computer Vision
2020
Later among the works it cites.
Buehler, M.C., Meka, A., Li, G., Beeler, T., Hilliges, O.: Varitex: Variational neural face textures. In: International Conference on Computer Vision (ICCV) (2021)
2021
Later among the works it cites.
Richardson, E., Alaluf, Y., Patashnik, O., Nitzan, Y., Azar, Y., Shapiro, S., Cohen-Or, D.: Encoding in style: a stylegan encoder for image-to-image translation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2287–2296 (2021)
2021
Later among the works it cites.
Shen, Y., Zhou, B.: Closed-form factorization of latent semantics in gans. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1532–1540 (2021)
2021
Later among the works it cites.
Shi, Y., Aggarwal, D., Jain, A.K.: Lifting 2d stylegan for 3d-aware face generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 6258–6266 (2021)
2021
Later among the works it cites.
2021
Later among the works it cites.
Tov, O., Alaluf, Y., Nitzan, Y., Patashnik, O., Cohen-Or, D.: Designing an encoder for stylegan image manipulation. ACM Transactions on Graphics (TOG)
2021
Later among the works it cites.
2021
Later among the works it cites.