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English(EN) Dual-Output Multi-Exposure HDR Reconstruction via SDR Fusion and Gain Map Inverse Tone Mapping

新的DOME-HDR框架实现了最先进的HDR图像重建

研究人员开发了DOME-HDR,一种用于从多重曝光中重建高动态范围(HDR)图像的新型框架。该系统首先使用LoRA适配的潜在扩散模型生成标准动态范围(SDR)图像,然后利用该SDR图像指导一个HDR Prior-guided Gain Map网络(HPGM)来预测增益图。DOME-HDR在Kalantari、Tel和Challenge123等各种数据集上展示了最先进的性能,在HDR重建质量上优于现有方法。 AI

影响 这项研究推进了HDR图像重建技术,有望提高摄影和数字成像应用中的视觉保真度。

排序理由 该集群描述了一篇关于HDR图像重建新框架的最新研究论文。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的DOME-HDR框架实现了最先进的HDR图像重建

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该集群描述了一篇关于HDR图像重建新框架的最新研究论文。
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报道来源 [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    通过SDR融合和增益图逆色调映射实现双输出多重曝光HDR重建

    We propose DOME-HDR, a dual-output multi-exposure HDR reconstruction framework that jointly produces a perceptually balanced SDR image and a consistent HDR image via gain map inverse tone mapping. Given three bracketed LDR inputs, DOME-HDR first synthesizes a base SDR using a LoR…

  2. arXiv cs.CV TIER_1 English(EN) · Jinho Kim, Jinwoo Kim, Seon Joo Kim ·

    通过SDR融合和增益图逆色调映射实现双输出多重曝光HDR重建

    arXiv:2608.05626v1 Announce Type: new Abstract: We propose DOME-HDR, a dual-output multi-exposure HDR reconstruction framework that jointly produces a perceptually balanced SDR image and a consistent HDR image via gain map inverse tone mapping. Given three bracketed LDR inputs, D…