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cs.CV2025
MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution
Linfeng He, Meiqin Liu, Qi Tang +2
Video super-resolution (VSR) faces critical challenges in effectively modeling non-local dependencies across misaligned frames while preserving computational efficiency. Existing V…
cs.CV2024
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
Qi Tang, Yao Zhao, Meiqin Liu +1
Diffusion-based Video Super-Resolution (VSR) is renowned for generating perceptually realistic videos, yet it grapples with maintaining detail consistency across frames due to stoc…
cs.CV2024
Semantic Lens: Instance-Centric Semantic Alignment for Video Super-Resolution
Qi Tang, Yao Zhao, Meiqin Liu +2
As a critical clue of video super-resolution (VSR), inter-frame alignment significantly impacts overall performance. However, accurate pixel-level alignment is a challenging task d…