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Video super-resolution (VSR) approaches have shown impressive temporal consistency in upsampled videos.
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Isobe, T., Jia, X., Gu, S., Li, S., Wang, S., Tian, Q.: Video super-resolution with recurrent structure-detail network. In: ECCV (2020)
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Chan, K.C., Wang, X., Yu, K., Dong, C., Loy, C.C.: Basicvsr: The search for essential components in video super-resolution and beyond. In: CVPR (2021)
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Liang, J., Cao, J., Fan, Y., Zhang, K., Ranjan, R., Li, Y., Timofte, R., Van Gool, L.: Vrt: A video restoration transformer. TIP (2024)
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Zhou, S., Yang, P., Wang, J., Luo, Y., Loy, C.C.: Upscale-a-video: Temporal-consistent diffusion model for real-world video super-resolution. In: CVPR (2024)
2024
Closest in time.