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English(EN) PanDORA: Casual HDR Radiance Acquisition of Indoor Scenes for Image-based Lighting

PanDORA系统捕获高动态范围辐射度,实现逼真的基于图像的照明

研究人员开发了PanDORA系统,该系统可快速捕获逼真的基于图像的照明所需的高动态范围(HDR)辐射度图。与依赖缓慢曝光包围或低动态范围图像的现有方法不同,PanDORA使用两台同步的360°相机以不同曝光度记录视频。一种新颖的两阶段基于NeRF的算法处理这些视频,包括一个自校准管道,以生成准确的HDR辐射度场。 AI

影响 引入了一种更有效的方法来捕获逼真的照明数据,有可能提高计算机图形学和虚拟环境中的渲染质量。

排序理由 这是一篇研究论文,详细介绍了一个用于捕获HDR辐射度图的新系统和算法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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PanDORA系统捕获高动态范围辐射度,实现逼真的基于图像的照明

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这是一篇研究论文,详细介绍了一个用于捕获HDR辐射度图的新系统和算法。[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) · Mohammad Reza Karimi Dastjerdi, Dominique Tanguay-Gaudreau, Fr\'ed\'eric Fortier-Chouinard, Yannick Hold-Geoffroy, Nima Kalantari, Jean-Fran\c{c}ois Lalonde ·

    PanDORA:用于基于图像的室内场景的休闲高动态范围辐射采集以实现图像照明

    arXiv:2407.06150v3 Announce Type: replace Abstract: Most novel view synthesis methods -- including Neural Radiance Fields (NeRF) -- struggle to capture the high dynamic range (HDR) radiance required for realistic image-based lighting (IBL). This limitation stems from a reliance o…