GoPro
Introduced by Nah et al. in Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
The GoPro dataset for deblurring consists of 3,214 blurred images with the size of 1,280×720 that are divided into 2,103 training images and 1,111 test images. The dataset consists of pairs of a realistic blurry image and the corresponding ground truth shapr image that are obtained by a high-speed camera.
Source: Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networksfor Non-Uniform Single Image DeblurringBenchmarks
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GoPro
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GShift-Net
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GoPro
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fftformer
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GoPro
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DBVI
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Papers
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