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Diffusion models have demonstrated exceptional capabilities in image restoration, yet their application to video super-resolution (VSR) faces significant challenges in balancing fidelity with temporal consistency.
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Basicvsr++: Improving video super-resolution with enhanced propagation and alignment
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Investigating tradeoffs in real-world video super-resolution
Kelvin CK Chan, Shangchen Zhou, Xiangyu Xu, and Chen Change Loy
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Openvid-1m: A large-scale high-quality dataset for text-to-video generation
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Exploiting diffusion prior for real-world image super-resolution
Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin CK Chan, and Chen Change Loy · 2024
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Upscale-a-video: Temporal-consistent diffusion model for real-world video super-resolution
Shangchen Zhou, Peiqing Yang, Jianyi Wang, Yihang Luo, and Chen Change Loy · 2024
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Motion-guided latent diffusion for temporally consistent real-world video super-resolution
Xi Yang, Chenhang He, Jianqi Ma, and Lei Zhang · 2025
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