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EvTexture++ 使用事件数据增强视频超分辨率纹理

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了EvTexture++，一个利用事件驱动视觉数据增强纹理恢复的视频超分辨率新框架。该方法将重点从运动估计转移到纹理增强，利用事件产生的高频时空细节。EvTexture++包含一个专门的纹理增强分支和一个用于渐进式纹理恢复的迭代模块，以及一个用于改善帧间一致性的时间纹理对齐模块。该框架设计为即插即用，可增强现有的视频超分辨率模型，并在纹理丰富的 数据集上展示出最先进的性能和显著的PSNR增益。 AI

影响 通过利用事件驱动视觉来增强视频超分辨率能力，从而改善纹理细节和时间一致性。

排序理由 该集群包含一篇详细介绍视频超分辨率新方法的学术论文。

在 arXiv cs.AI 阅读 →

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EvTexture++ 使用事件数据增强视频超分辨率纹理

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该集群包含一篇详细介绍视频超分辨率新方法的学术论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Dachun Kai, Jiayao Lu, Yueyi Zhang, Xiaoyan Sun ·

    EvTexture++：面向视频超分辨率的事件驱动纹理增强

    arXiv:2606.13580v1 Announce Type: cross Abstract: Event-based vision has drawn increasing attention owing to its distinctive properties, including ultra-high temporal resolution and extreme dynamic range. Recent works have introduced it to video super-resolution (VSR) to enhance …

  2. arXiv cs.AI TIER_1 English(EN) · Xiaoyan Sun ·

    EvTexture++：面向视频超分辨率的事件驱动纹理增强

    Event-based vision has drawn increasing attention owing to its distinctive properties, including ultra-high temporal resolution and extreme dynamic range. Recent works have introduced it to video super-resolution (VSR) to enhance flow estimation and temporal alignment. In contras…

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