Image Defocus Deblurring

9 papers with code • 1 benchmarks • 0 datasets

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Most implemented papers

Restormer: Efficient Transformer for High-Resolution Image Restoration

swz30/restormer 18 Nov 2021

Since convolutional neural networks (CNNs) perform well at learning generalizable image priors from large-scale data, these models have been extensively applied to image restoration and related tasks.

Uformer: A General U-Shaped Transformer for Image Restoration

ZhendongWang6/Uformer 6 Jun 2021

Powered by these two designs, Uformer enjoys a high capability for capturing both local and global dependencies for image restoration.

Defocus Deblurring Using Dual-Pixel Data

Abdullah-Abuolaim/defocus-deblurring-dual-pixel ECCV 2020

DP sensors are used to assist a camera's auto-focus by capturing two sub-aperture views of the scene in a single image shot.

BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring

junjun-jiang/BaMBNet 31 May 2021

In particular, we estimate the blur amounts of different regions by the internal geometric constraint of the DP data, which measures the defocus disparity between the left and right views.

Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning

Abdullah-Abuolaim/multi-task-defocus-deblurring-dual-pixel-nimat 11 Aug 2021

Specifically, we show that jointly learning to predict the two DP views from a single blurry input image improves the network's ability to learn to deblur the image.

Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions

HyeongseokSon1/KPAC ICCV 2021

To utilize the property with inverse kernels, we exploit the observation that when only the size of a defocus blur changes while keeping the shape, the shape of the corresponding inverse kernel remains the same and only the scale changes.

Iterative Filter Adaptive Network for Single Image Defocus Deblurring

codeslake/IFAN CVPR 2021

We propose a novel end-to-end learning-based approach for single image defocus deblurring.

Gaussian Kernel Mixture Network for Single Image Defocus Deblurring

cszcwu/gkmnet NeurIPS 2021

Defocus blur is one kind of blur effects often seen in images, which is challenging to remove due to its spatially variant amount.

Deep Residual Fourier Transformation for Single Image Deblurring

invokerer/deeprft 23 Nov 2021

It has been a common practice to adopt the ResBlock, which learns the difference between blurry and sharp image pairs, in end-to-end image deblurring architectures.