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With the prosperity of digital video industry, video frame interpolation has arisen continuous attention in computer vision community and become a new upsurge in industry.
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Niklaus, S., Mai, L., Liu, F.: Video frame interpolation via adaptive separable convolution. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 261–270 (2017)
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Su, S., Delbracio, M., Wang, J., Sapiro, G., Heidrich, W., Wang, O.: Deep video deblurring for hand-held cameras. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1279–1288 (2017)
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Jiang, H., Sun, D., Jampani, V., Yang, M.H., Learned-Miller, E., Kautz, J.: Super slomo: High quality estimation of multiple intermediate frames for video interpolation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 9000–9008 (2018)
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Meyer, S., Djelouah, A., McWilliams, B., Sorkine-Hornung, A., Gross, M., Schroers, C.: Phasenet for video frame interpolation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 498–507 (2018)
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Xu, X., Siyao, L., Sun, W., Yin, Q., Yang, M.H.: Quadratic video interpolation. In: Advances in Neural Information Processing Systems. pp. 1647–1656 (2019)
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Bar-Haim, A., Wolf, L.: Scopeflow: Dynamic scene scoping for optical flow. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 7998–8007 (2020)
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Cited alongside, same era.
Niklaus, S., Liu, F.: Context-aware synthesis for video frame interpolation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1701–1710 (2018)
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Sun, D., Yang, X., Liu, M.Y., Kautz, J.: Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 8934–8943 (2018)
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Bao, W., Lai, W.S., Ma, C., Zhang, X., Gao, Z., Yang, M.H.: Depth-aware video frame interpolation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3703–3712 (2019)
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Nah, S., Baik, S., Hong, S., Moon, G., Son, S., Timofte, R., Lee, K.M.: NTIRE 2019 challenges on video deblurring and super-resolution: Dataset and study. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (June 2019)
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2020
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Gui, S., Wang, C., Chen, Q., Tao, D.: Featureflow: Robust video interpolation via structure-to-texture generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 14004–14013 (2020)
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Lee, H., Kim, T., Chung, T.y., Pak, D., Ban, Y., Lee, S.: Adacof: Adaptive collaboration of flows for video frame interpolation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5316–5325 (2020)
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Son, S., Lee, J., Nah, S., Timofte, R., Lee, K.M., et al.: AIM 2020 challenge on video temporal super-resolution. In: European Conference on Computer Vision Workshops (2020)
2020
Closest in time.