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[2] Daniel Rebain, et al. “LOLNeRF: Learn from One Look.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 프로젝트 페이지: https://ubc-vision.github.io/lolnerf/
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[14] BlockNeRF demo video: https://www.youtube.com/watch?v=6lGMCAzBzOQ
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[19] Yi-Hua Huang, et al. “StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
[20] Xin Huang, et al. “HDR-NeRF: High Dynamic Range Neural Radiance Fields.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
[21] Ben Midenhall, et al. “NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 프로젝트 페이지: https://bmild.github.io/rawnerf/index.html
[22] Jingxiang Sun, et al. “FENeRF: Face Editing in Neural Radiance Fields.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 프로젝트 페이지: https://mrtornado24.github.io/FENeRF/
[23] ShahRukh Athar, et al. “RigNeRF: Fully Controllable Neural 3D Portraits.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
[24] Yang Hong, et al. “HeadNeRF: A Real-time NeRF-based Parametric Head Model.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
[25] Chung-Yi Weng, et al. “HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 프로젝트 페이지: https://grail.cs.washington.edu/projects/humannerf/
