English(EN) Prior-Guided Single-Exposure HDR Novel View Synthesis via Base-Gain Representation

新的3D高斯溅射框架从LDR视图合成HDR图像

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-02 05:00

研究人员推出PriorGS，一个利用3D高斯溅射从单次低动态范围（LDR）视图合成高动态范围（HDR）图像的新框架。该方法通过在闭环中使用现有2D重建技术的伪HDR监督，解决了在没有直接HDR真实数据的情况下重建HDR场景的挑战。PriorGS还包含一个可学习的先验来规范化相机响应函数（CRF），并引入了一个基增益HDR表示，以提高鲁棒性并实现3D HDR外观编辑。 AI

影响引入了一种新颖的HDR图像合成方法，有望提高计算机图形学和虚拟现实应用中的视觉保真度。

排序理由这是一篇详细介绍图像合成新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Armin Shafiee Sarvestani, Sheyang Tang, Jialu Xu, Zhou Wang · 2026-11-02 05:00

Prior-Guided Single-Exposure HDR Novel View Synthesis via Base-Gain Representation

arXiv:2610.41011v1 Announce Type: new Abstract: Single-exposure high dynamic range (HDR) novel view synthesis (NVS) recovers HDR scenes from low dynamic range (LDR) views captured at a single exposure and estimates camera response function (CRF) for LDR re-exposure. Without HDR g…

本文如何被排名

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Prior-Guided Single-Exposure HDR Novel View Synthesis via Base-Gain Representation

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