English(EN) InfVSR: Breaking Length Limits of Generic Video Super-Resolution

InfVSR 通过一步扩散解决长视频超分辨率问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-22 04:00

研究人员推出了一种新颖的视频超分辨率（VSR）方法 InfVSR，旨在克服处理长视频序列的限制。通过将 VSR 重构为自回归一步扩散过程，InfVSR 实现了高效的流式推理并保持了时间一致性。该方法使用因果结构调整了预训练的扩散模型，并将扩散过程提炼为一步，在新的长视频基准测试中实现了显著的加速和质量提升。 AI

影响 InfVSR 为视频超分辨率提供了显著的加速，可能为处理长视频内容的新应用带来可能。

排序理由该集群包含一篇详细介绍视频超分辨率新方法和基准的论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍视频超分辨率新方法和基准的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Ziqing Zhang, Kai Liu, Zheng Chen, Xi Li, Yucong Chen, Bingnan Duan, Linghe Kong, Yulun Zhang · 2026-05-22 04:00

InfVSR：打破通用视频超分辨率的长度限制

arXiv:2510.00948v2 Announce Type: replace Abstract: 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…

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报道来源 [1]

InfVSR：打破通用视频超分辨率的长度限制

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