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Inferring the scene illumination from a single image is an essential yet challenging task in computer vision and computer graphics.
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2018
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D. Maurer, Y. C. Ju, M. Breuß, and A. Bruhn, “Combining shape from shading and stereo: A joint variational method for estimating depth, illumination and albedo,” International Journal of Computer Vision , vol. 126, no. 12, pp. 1342–1366, 2018
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2019
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2019
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S. Song and T. Funkhouser, “Neural illumination: Lighting prediction for indoor environments,” in CVPR , 2019
2019
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M. Li, J. Guo, X. Cui, R. Pan, Y. Guo, C. Wang, P. Yu, and F. Pan, “Deep spherical gaussian illumination estimation for indoor scene,” in MM Asia , 2019
2019
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2019
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L. Murmann, M. Gharbi, M. Aittala, and F. Durand, “A dataset of multi-illumination images in the wild,” in ICCV , 2019
2019
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2019
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F. Zhan, C. Zhang, W. Hu, S. Lu, F. Ma, X. Xie, and L. Shao, “Sparse needlets for lighting estimation with spherical transport loss,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2021, pp. 12 830–12 839
2021
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