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English(EN) NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods

NTIRE 2026 挑战赛通过新数据集推动反射去除技术

NTIRE 2026 挑战赛专注于野外单图像去反射(SIRR),填补了实际应用中的空白。引入了一个名为 OpenRR-5k 的新数据集,用于测试各种真实反射场景下的方法。该挑战赛吸引了大量参与者,表现最佳的方法在反射去除方面取得了新的进展,并获得了专家认可。 AI

影响 推动图像恢复技术的发展,有望提高使用真实图像的应用的视觉质量。

排序理由 该集群报告了一项研究挑战和数据集发布。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

NTIRE 2026 挑战赛通过新数据集推动反射去除技术

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该集群报告了一项研究挑战和数据集发布。[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) · Jie Cai, Kangning Yang, Zhiyuan Li, Florin-Alexandru Vasluianu, Radu Timofte, Jinlong Li, Jinglin Shen, Zibo Meng, Junyan Cao, Lu Zhao, Pengwei Liu, Yuyi Zhang, Fengjun Guo, Jiagao Hu, Zepeng Wang, Fei Wang, Daiguo Zhou, Yi'ang Chen, Honghui Zhu, Mengru … ·

    NTIRE 2026 挑战赛:野外单幅图像反射去除数据集、结果与方法

    arXiv:2604.10321v3 Announce Type: replace Abstract: In this paper, we review the NTIRE 2026 challenge on single-image reflection removal (SIRR) in the wild. SIRR is a fundamental task in image restoration. Despite progress in academic research, most methods are tested on syntheti…