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Deblurring

17 papers with code · Computer Vision

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Learning to See in the Dark

CVPR 2018 cchen156/Learning-to-See-in-the-Dark

Imaging in low light is challenging due to low photon count and low SNR.

DEBLURRING DENOISING

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

CVPR 2018 KupynOrest/DeblurGAN

The quality of the deblurring model is also evaluated in a novel way on a real-world problem -- object detection on (de-)blurred images.

DEBLURRING OBJECT DETECTION

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

CVPR 2017 SeungjunNah/DeepDeblur_release

To remove these complicated motion blurs, conventional energy optimization based methods rely on simple assumptions such that blur kernel is partially uniform or locally linear.

DEBLURRING

Learning Deep CNN Denoiser Prior for Image Restoration

CVPR 2017 cszn/ircnn

Recent works have revealed that, with the aid of variable splitting techniques, denoiser prior can be plugged in as a modular part of model-based optimization methods to solve other inverse problems (e. g., deblurring).

DEBLURRING IMAGE DENOISING IMAGE RESTORATION

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels

29 Mar 2019cszn/DPSR

In this paper, we propose a principled formulation and framework by extending bicubic degradation based deep SISR with the help of plug-and-play framework to handle LR images with arbitrary blur kernels.

DEBLURRING IMAGE RESTORATION IMAGE SUPER-RESOLUTION

Gated Fusion Network for Joint Image Deblurring and Super-Resolution

27 Jul 2018jacquelinelala/GFN

Single-image super-resolution is a fundamental task for vision applications to enhance the image quality with respect to spatial resolution.

DEBLURRING IMAGE SUPER-RESOLUTION

On-Demand Learning for Deep Image Restoration

ICCV 2017 rhgao/on-demand-learning

While machine learning approaches to image restoration offer great promise, current methods risk training models fixated on performing well only for image corruption of a particular level of difficulty---such as a certain level of noise or blur.

DEBLURRING IMAGE DENOISING IMAGE INPAINTING IMAGE RESTORATION

Image Reconstruction with Predictive Filter Flow

28 Nov 2018aimerykong/predictive-filter-flow

We propose a simple, interpretable framework for solving a wide range of image reconstruction problems such as denoising and deconvolution.

DEBLURRING DENOISING IMAGE RECONSTRUCTION IMAGE SUPER-RESOLUTION LOSSY-COMPRESSION ARTIFACT REDUCTION

A Neural Approach to Blind Motion Deblurring

15 Mar 2016ayanc/ndeblur

We present a new method for blind motion deblurring that uses a neural network trained to compute estimates of sharp image patches from observations that are blurred by an unknown motion kernel.

DEBLURRING

Deep Mean-Shift Priors for Image Restoration

NeurIPS 2017 siavashbigdeli/DMSP

We show that the gradient of our prior corresponds to the mean-shift vector on the natural image distribution.

DEBLURRING DEMOSAICKING DENOISING IMAGE SUPER-RESOLUTION