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English(EN) RRNet: Configurable Real-Time Video Enhancement with Arbitrary Local Lighting Variations

RRNet框架通过新颖的光照控制提供实时视频增强

研究人员开发了RRNet,一个新颖的、可处理任意局部光照变化的实时视频增强框架。该轻量级系统通过估计虚拟光源的参数并使用深度感知渲染模块,实现了视觉质量和效率之间最先进的平衡。RRNet的面向对象的表述保留了面部身份并支持高分辨率性能,使其适用于视频会议和移动摄影等应用。 AI

影响 为实时应用提供更自然、更可控的视频增强。

排序理由 详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

RRNet框架通过新颖的光照控制提供实时视频增强

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详细介绍新技术方法的学术论文。[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) · Wenlong Yang, Canran Jin, Weihang Yuan, Chao Wang, Lifeng Sun ·

    RRNet:具有任意局部光照变化的、可配置的实时视频增强

    arXiv:2601.01865v2 Announce Type: replace Abstract: With the growing demand for real-time video enhancement in live applications, existing methods often struggle to balance speed and effective exposure control, particularly under uneven lighting. We introduce RRNet (Rendering Rel…