首届事件图像去模糊挑战赛，15支队伍提交有效结果。
NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results
- 用事件与图像联合输入，实现单图去模糊。
- 最高PSNR达32.78，验证了方法有效性。
- 适合关注事件视觉与图像重建的研究者。
本文概述了首届事件图像去模糊挑战赛（NTIRE 2025），详述参赛方法及对应结果。挑战目标是设计高性能事件驱动的图像去模糊方法，性能以峰值信噪比（PSNR）量化评估，不限制计算复杂度或模型大小。任务要求同时利用事件流和图像作为输入，实现单张图像去模糊。共有199名参与者注册，其中15支团队成功提交有效结果，为当前事件图像去模糊技术提供了宝贵洞察。我们期待该挑战推动事件视觉研究进一步发展。
原文摘要 · Abstract (English)
This paper presents an overview of NTIRE 2025 the First Challenge on Event-Based Image Deblurring, detailing the proposed methodologies and corresponding results. The primary goal of the challenge is to design an event-based method that achieves high-quality image deblurring, with performance quantitatively assessed using Peak Signal-to-Noise Ratio (PSNR). Notably, there are no restrictions on computational complexity or model size. The task focuses on leveraging both events and images as inputs for single-image deblurring. A total of 199 participants registered, among whom 15 teams successfully submitted valid results, offering valuable insights into the current state of event-based image deblurring. We anticipate that this challenge will drive further advancements in event-based vision research.
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