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English(EN) Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion

Stream-DiffVSR 实现低延迟视频超分辨率

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了 Stream-DiffVSR，一个用于视频超分辨率 (VSR) 的新颖框架，专为低延迟流式应用而设计。与需要未来帧和大量处理的先前基于扩散的方法不同，Stream-DiffVSR 仅在过去帧上因果操作。它包含一个快速、蒸馏的去噪器、一个用于运动对齐的自回归时间引导模块以及一个增强细节和连贯性的时域感知解码器。这种方法显著减少了首帧时间和每帧运行时间，使得基于扩散的 VSR 在实时使用中更加实用。 AI

影响 实现了基于扩散的视频超分辨率的实际实时部署，提高了流式应用的质量。

排序理由 详细介绍视频超分辨率新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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Stream-DiffVSR 实现低延迟视频超分辨率

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详细介绍视频超分辨率新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Hau-Shiang Shiu, Chin-Yang Lin, Zhixiang Wang, Chi-Wei Hsiao, Po-Fan Yu, Yu-Chih Chen, Yu-Lun Liu ·

    Stream-DiffVSR：通过自回归扩散实现低延迟可流式传输的视频超分辨率

    arXiv:2512.23709v3 Announce Type: replace Abstract: Diffusion-based video super-resolution (VSR) methods deliver strong perceptual quality but are often unsuitable for latency-sensitive scenarios due to reliance on future frames and expensive multi-step denoising. We propose Stre…

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