English(EN) The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results

NTIRE 2026 挑战赛对先进图像去噪技术进行基准测试

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-16 04:00

NTIRE 2026 图像去噪挑战赛专注于恢复被高水平加性白高斯噪声严重损坏的图像。该竞赛评估了先进的神经网络架构，优先考虑峰值信噪比（PSNR）衡量的峰值定量性能。共有116支队伍注册参赛，20支决赛队伍的成果被收录在一份报告中，为无约束图像恢复领域的最新创新提供了基准。 AI

排序理由该集群报告了在arXiv上发表的一项研究挑战及其结果。[lever_c_demoted from research: ic=1 ai=1.0]

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

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arXiv cs.CV TIER_1 English(EN) · Lei Sun, Hang Guo, Bin Ren, Shaolin Su, Xian Wang, Danda Pani Paudel, Luc Van Gool, Radu Timofte, Yawei Li · 2026-06-16 04:00

The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results

arXiv:2606.16031v1 Announce Type: new Abstract: This paper reports on the NTIRE 2026 Challenge on Image Denoising, specifically focusing on the high-noise regime ($\sigma = 50$). The competition investigates advanced neural architectures designed to restore high-fidelity details …