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面向黑暗环境的鲁棒3D感知RGB-NIR成像
原标题：Toward Robust and 3D-Aware RGB-NIR Imaging in the Dark
AI 摘要
本文提出了一种新的RGB-NIR低光成像方法，通过引入3D感知神经建模，在无需干净RGB监督的情况下，隐式融合极噪RGB观测与NIR线索，恢复干净RGB图像。该方法避免了干净RGB数据收集，并能泛化到不同噪声水平，在合成和真实数据上表现优越。代码已开源。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
Toward Robust and 3D-Aware RGB-NIR Imaging in the Dark Abstract Robust low-light imaging remains challenging for the community. Recent studies have explored fusing Near-Infrared (NIR) with noisy RGB to achieve improved enhancement, yet most methods depend on carefully curated training data pairs, with limited robustness under different scenarios. This paper offers a new perspective for RGB-NIR low-light imaging by incorporating 3D-aware neural modeling. Without using clean RGB supervision, a pow
发布时间：—
抓取时间：2026-08-03 17:31
来源机构：Hugging Face