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Creating high-fidelity 3D head avatars has always been a research hotspot, but it remains a great challenge under lightweight sparse view setups.
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2021
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Z. Wang, T. Bagautdinov, S. Lombardi, T. Simon, J. Saragih, J. Hodgins, and M. Zollhofer, “Learning compositional radiance fields of dynamic human heads,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2021, pp. 5704–5713
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T. Yenamandra, A. Tewari, F. Bernard, H. Seidel, M. Elgharib, D. Cremers, and C. Theobalt, “i3dmm: Deep implicit 3d morphable model of human heads,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2021
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G. Gafni, J. Thies, M. Zollhofer, and M. Niessner, “Dynamic neural radiance fields for monocular 4d facial avatar reconstruction,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2021, pp. 8645–8654
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2023
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Y. Zheng, W. Yifan, G. Wetzstein, M. J. Black, and O. Hilliges, “Pointavatar: Deformable point-based head avatars from videos,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2023
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2024
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Z. Shao, Z. Wang, Z. Li, D. Wang, X. Lin, Y. Zhang, M. Fan, and Z. Wang, “Splattingavatar: Realistic real-time human avatars with mesh-embedded gaussian splatting,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2024, pp. 1606–1616
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J. Xiang, X. Gao, Y. Guo, and J. Zhang, “Flashavatar: High-fidelity head avatar with efficient gaussian embedding,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2024, pp. 1802–1812
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