A systematic literature review of generative adversarial networks (GANs) in 3D avatar reconstruction from 2D images
Author:
Funder
Kementerian Pendidikan Malaysia
Universiti Kebangsaan Malaysia
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18665-3.pdf
Reference75 articles.
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2. Cao J, Hu Y, Yu B, He R, Sun Z (2019) 3D aided duet GANs for multi-view face image synthesis. IEEE Trans Inform Forensics Secur 14:2028–2042. https://doi.org/10.1109/TIFS.2019.2891116
3. Chen A, Chen Z, Zhang G, Mitchell K, Yu J (2019) Photo-realistic facial details synthesis from single image. In: 2019 IEEE/CVF international conference on computer vision (ICCV), Seoul, Korea (South), pp 9428–9438. https://doi.org/10.1109/ICCV.2019.00952
4. Deng J, Cheng S, Xue N, Zhou Y, Zafeiriou S (2018) UV-GAN: adversarial facial UV map completion for pose-invariant face recognition. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition. IEEE Computer Society, pp 7093–7102. https://doi.org/10.1109/CVPR.2018.00741
5. Deng Y, Sun C, Zhu J, Sun Y (2021) SVMAC: unsupervised 3D human pose estimation from a single image with single-view-multi-angle consistency. In: Proceedings - 2021 international conference on 3D vision, 3DV 2021. Institute of Electrical and Electronics Engineers Inc, pp 474–483 https://doi.org/10.1109/3DV53792.2021.00057
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