In this work, we propose a novel dilated convolution net- work structure for image deblurring. For this structure, we propose two modules: the dilated ...
Oct 12, 2021 · We propose a novel module using the wavelet transform, which effectively helps the network to recover clear high-frequency texture details.
In this work, we propose a novel dilated convolution net- work structure for image deblurring. For this structure, we propose two modules: the dilated ...
This repo is not only used for our paper(SDWNet) but also used for Deblur codebase. We implement a number of components that allow you to quickly implement ...
Sep 6, 2024 · Qualitative and quantitative evaluations of real and synthetic datasets show that our deblurring method is comparable to existing algorithms in ...
We propose a novel module using the wavelet transform, which effectively helps the network to recover clear high-frequency texture details.
Supplementary Material-SDWNet: A Straight Dilated Network with Wavelet. Transformation for image Deblurring. Wenbin Zou1,∗, Mingchao Jiang2,∗, Yunchen ...
When it comes to image deblurring, SDWNet [20] incorporates Wavelet Transform (WT) into deep networks. Scribano et al. [21] utilized the characteristics of ...
SDWNet. 35.85. SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring. 2021. RealBlur-R(trained on GoPro) is not associated with ...
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SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring ... Ranked #1 on Image Deblurring on RealBlur-R(trained on GoPro).