Feb. 13, 2024, 5:43 a.m. | Simin Luan Cong Yang Zeyd Boukhers Xue Qin Dongfeng Cheng Wei Sui Zhijun Li

cs.LG updates on arXiv.org arxiv.org

Image research has shown substantial attention in deblurring networks in recent years. Yet, their practical usage in real-world deblurring, especially motion blur, remains limited due to the lack of pixel-aligned training triplets (background, blurred image, and blur heat map) and restricted information inherent in blurred images. This paper presents a simple yet efficient framework to synthetic and restore motion blur images using Inertial Measurement Unit (IMU) data. Notably, the framework includes a strategy for training triplet generation, and a Gyroscope-Aided …

attention cs.cv cs.gr cs.lg framework heat image images information map network networks paper pixel practical research simple synthetic training usage world

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