标题： 智能手机上的从 RGB 图像重建 RAW 图像。 NTIRE 2025 挑战赛报告 显示英文标题

标题： RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Report

摘要： 由于RAW域具有线性特性、位深和传感器设计等优点，许多底层视觉任务都在该域中运行。然而，RAW图像数据集非常稀缺，且收集成本比已经庞大且公开的sRGB数据集更高。因此，许多方法试图利用传感器信息和sRGB图像生成逼真的RAW图像。本文涵盖了从sRGB重建RAW（逆向ISP）的第二个挑战。我们的目标是从智能手机中恢复RAW传感器图像，给定相应的sRGB图像而没有元数据，并通过这种方式“反向”ISP变换。超过150名参与者加入了NTIRE 2025挑战并提交了高效模型。所提出的方法和基准确立了生成逼真RAW数据的最先进水平。 显示英文摘要

摘要： Numerous low-level vision tasks operate in the RAW domain due to its linear properties, bit depth, and sensor designs. Despite this, RAW image datasets are scarce and more expensive to collect than the already large and public sRGB datasets. For this reason, many approaches try to generate realistic RAW images using sensor information and sRGB images. This paper covers the second challenge on RAW Reconstruction from sRGB (Reverse ISP). We aim to recover RAW sensor images from smartphones given the corresponding sRGB images without metadata and, by doing this, ``reverse" the ISP transformation. Over 150 participants joined this NTIRE 2025 challenge and submitted efficient models. The proposed methods and benchmark establish the state-of-the-art for generating realistic RAW data.