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In this paper, we develop a personalized video relighting algorithm that produces high-quality and temporally consistent relit videos under any pose, expression, and lighting condition in real-time.
1905
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Debevec, P., Wenger, A., Tchou, C., Gardner, A., Waese, J., Hawkins, T.: A lighting reproduction approach to live-action compositing. ACM Trans. Graph. 21
2002
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2004
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Peers, P., Tamura, N., Matusik, W., Debevec, P.: Post-production facial performance relighting using reflectance transfer. ACM Trans. Graph. 26
2007
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2008
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2010
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Shih, Y., Paris, S., Barnes, C., Freeman, W.T., Durand, F.: Style transfer for headshot portraits. ACM Trans. Graph. 33
2014
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2015
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Gardner, M.A., Sunkavalli, K., Yumer, E., Shen, X., Gambaretto, E., Gagné, C., Lalonde, J.F.: Learning to predict indoor illumination from a single image (2017)
2017
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Hu, Y., Wang, B., Lin, S.: Fc 4: Fully convolutional color constancy with confidence-weighted pooling. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4085–4094 (2017)
2017
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Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. CVPR (2017)
2017
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Shu, Z., Hadap, S., Shechtman, E., Sunkavalli, K., Paris, S., Samaras, D.: Portrait lighting transfer using a mass transport approach. ACM Trans. Graph. 37
2017
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Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Computer Vision (ICCV), 2017 IEEE International Conference on (2017)
2017
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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
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Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 586–595. IEEE Computer Society, Los Alamitos, CA, USA (jun 2018). https://doi.org/10.1109/CVPR.2018.00068, https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00068
2018
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2018
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Guo, K., Lincoln, P., Davidson, P., Busch, J., Yu, X., Whalen, M., Harvey, G., Orts-Escolano, S., Pandey, R., Dourgarian, J., Tang, D., Tkach, A., Kowdle, A., Cooper, E., Dou, M., Fanello, S., Fyffe, G., Rhemann, C., Taylor, J., Debevec, P., Izadi, S.: The relightables: Volumetric performance capture of humans with realistic relighting (2019)
2019
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Zhou, H., Hadap, S., Sunkavalli, K., Jacobs, D.: Deep single-image portrait relighting. In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV). pp. 7193–7201 (2019). https://doi.org/10.1109/ICCV.2019.00729
2019
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Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.: Analyzing and improving the image quality of StyleGAN. In: Proc. CVPR (2020)
2020
Cited alongside, same era.
LeGendre, C., Ma, W.C., Pandey, R., Fanello, S., Rhemann, C., Dourgarian, J., Busch, J., Debevec, P.: Learning illumination from diverse portraits (2020)
2020
Cited alongside, same era.
Meka, A., Pandey, R., Haene, C., Orts-Escolano, S., Barnum, P., Davidson, P., Erickson, D., Zhang, Y., Taylor, J., Bouaziz, S., Legendre, C., Ma, W.C., Overbeck, R., Beeler, T., Debevec, P., Izadi, S., Theobalt, C., Rhemann, C., Fanello, S.: Deep relightable textures - volumetric performance capture with neural rendering. vol. 39 (December 2020). https://doi.org/10.1145/3414685.3417814, http://gvv.mpi-inf.mpg.de/projects/DeepRelightableTextures/
Zhang, L., Zhang, Q., Wu, M., Yu, J., Xu, L.: Neural video portrait relighting in real-time via consistency modeling (2021)
2021
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Chen, Z., Liu, Z.: Relighting4d: Neural relightable human from videos (2022)
2022
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Gerstner, C.R., Farid, H.: Detecting real-time deep-fake videos using active illumination. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). pp. 53–60 (2022). https://doi.org/10.1109/CVPRW56347.2022.00015
2022
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Hou, A., Sarkis, M., Bi, N., Tong, Y., Liu, X.: Face relighting with geometrically consistent shadows. In: In Proceeding of IEEE Computer Vision and Pattern Recognition. New Orleans, LA (June 2022)
2022
Later among the works it cites.
Liu*, Y., Hou*, A., Huang, X., Ren, L., Liu, X.: Blind removal of facial foreign shadows. In: In Proceedings of British Machine Vision Conference (BMVC). London, UK (November 2022)
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2020
Cited alongside, same era.
Nestmeyer, T., Lalonde, J., Matthews, I., Lehrmann, A.: Learning physics-guided face relighting under directional light. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5123–5132. IEEE Computer Society, Los Alamitos, CA, USA (jun 2020). https://doi.org/10.1109/CVPR42600.2020.00517, https://doi.ieeecomputersociety.org/10.1109/CVPR42600.2020.00517
2020
Cited alongside, same era.
Sevastopolsky, A., Ignatiev, S., Ferrer, G., Burnaev, E., Lempitsky, V.: Relightable 3d head portraits from a smartphone video (2020)
2020
Cited alongside, same era.
Wang, Z., Yu, X., Lu, M., Wang, Q., Qian, C., Xu, F.: Single image portrait relighting via explicit multiple reflectance channel modeling. ACM Trans. Graph. 39
2020
Cited alongside, same era.
Zhang, X., Barron, J.T., Tsai, Y.T., Pandey, R., Zhang, X., Ng, R., Jacobs, D.E.: Portrait shadow manipulation. vol. 39 (2020)
2020
Cited alongside, same era.
Daichi Tajima, Yoshihiro Kanamori, Y.E.: Relighting humans in the wild: Monocular full-body human relighting with domain adaptation. Computer Graphics Forum (Proc. of Pacific Graphics 2021) 40
2021
Cited alongside, same era.
He, Y., Xing, Y., Zhang, T., Chen, Q.: Unsupervised portrait shadow removal via generative priors. In: Proceedings of the 29th ACM International Conference on Multimedia. MM ’21, ACM (Oct 2021). https://doi.org/10.1145/3474085.3475663, http://dx.doi.org/10.1145/3474085.3475663
2021
Cited alongside, same era.
Hou, A., Zhang, Z., Sarkis, M., Bi, N., Tong, Y., Liu, X.: Towards high fidelity face relighting with realistic shadows. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
2021
Cited alongside, same era.
Jin, H., Liao, S., Shao, L.: Pixel-in-pixel net: Towards efficient facial landmark detection in the wild. International Journal of Computer Vision (Sep 2021). https://doi.org/10.1007/s11263-021-01521-4, http://dx.doi.org/10.1007/s11263-021-01521-4
2021
Cited alongside, same era.
2022
Later among the works it cites.
Yeh, Y.Y., Nagano, K., Khamis, S., Kautz, J., Liu, M.Y., Wang, T.C.: 41
2022
Later among the works it cites.
Yeh, Y.Y., Nagano, K., Khamis, S., Kautz, J., Liu, M.Y., Wang, T.C.: Learning to relight portrait images via a virtual light stage and synthetic-to-real adaptation. ACM Transactions on Graphics (TOG) (2022)
2022
Later among the works it cites.
Bolduc, C., Giroux, J., Hébert, M., Demers, C., Lalonde, J.F.: Beyond the pixel: a photometrically calibrated hdr dataset for luminance and color prediction (2023)
2023
Closest in time.
Futschik, D., Ritland, K., Vecore, J., Fanello, S., Orts-Escolano, S., Curless, B., Sýkora, D., Pandey, R.: Controllable light diffusion for portraits (2023)
2023
Closest in time.
2023
Closest in time.
Qi, L., Wu, J., Wang, A.N., Wang, S., Sengupta, R.: My3dgen: A scalable personalized 3d generative model (2023)
2023
Closest in time.
Qiu, H., Chen, Z., Jiang, Y., Zhou, H., Fan, X., Yang, L., Wu, W., Liu, Z.: Relitalk: Relightable talking portrait generation from a single video (2023)
2023
Closest in time.
Ren, M., Xiong, W., Yoon, J.S., Shu, Z., Zhang, J., Jung, H., Gerig, G., Zhang, H.: Relightful harmonization: Lighting-aware portrait background replacement (2023)
2023
Closest in time.
Wang, Y., Holynski, A., Zhang, X., Zhang, X.: Sunstage: Portrait reconstruction and relighting using the sun as a light stage. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 20792–20802 (2023)
2023
Closest in time.
Yang, H., Zheng, M., Feng, W., Huang, H., Lai, Y.K., Wan, P., Wang, Z., Ma, C.: Towards practical capture of high-fidelity relightable avatars (2023)
2023
Closest in time.
Choi, J.M., Leung, J., Frahm, N., Christman, M., Bertasius, G., Sengupta, R.: Building secure and engaging video communication by using monitor illumination. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4377–4386 (2024)
2024
Closest in time.