AI RESEARCH
InfVSR: Breaking Length Limits of Generic Video Super-Resolution
arXiv CS.CV
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ArXi:2510.00948v2 Announce Type: replace Real-world videos often extend over thousands of frames. Existing generative video super-resolution (VSR) approaches, however, face two persistent challenges when processing long sequences: (1) inefficiency due to the heavy cost of multi-step denoising for full-length sequences; and (2) poor consistency is hindered by temporal decomposition that causes artifacts and discontinuities.