Deblur-nerf: Neural radiance fields from blurry images

L Ma, X Li, J Liao, Q Zhang, X Wang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Neural Radiance Field (NeRF) has gained considerable attention recently for 3D
scene reconstruction and novel view synthesis due to its remarkable synthesis quality …

Recent progress in image deblurring

R Wang, D Tao - arXiv preprint arXiv:1409.6838, 2014 - arxiv.org
This paper comprehensively reviews the recent development of image deblurring, including
non-blind/blind, spatially invariant/variant deblurring techniques. Indeed, these techniques …

Blind image deblurring using dark channel prior

J Pan, D Sun, H Pfister… - Proceedings of the IEEE …, 2016 - openaccess.thecvf.com
We present a simple and effective blind image deblurring method based on the dark
channel prior. Our work is inspired by the interesting observation that the dark channel of …

Learning a convolutional neural network for non-uniform motion blur removal

J Sun, W Cao, Z Xu, J Ponce - Proceedings of the IEEE …, 2015 - openaccess.thecvf.com
In this paper, we address the problem of estimating and removing non-uniform motion blur
from a single blurry image. We propose a deep learning approach to predicting the …

From motion blur to motion flow: A deep learning solution for removing heterogeneous motion blur

D Gong, J Yang, L Liu, Y Zhang… - Proceedings of the …, 2017 - openaccess.thecvf.com
Removing pixel-wise heterogeneous motion blur is challenging due to the ill-posed nature
of the problem. The predominant solution is to estimate the blur kernel by adding a prior, but …

Unnatural l0 sparse representation for natural image deblurring

L Xu, S Zheng, J Jia - … of the IEEE conference on computer …, 2013 - openaccess.thecvf.com
We show in this paper that the success of previous maximum a posterior (MAP) based blur
removal methods partly stems from their respective intermediate steps, which implicitly or …

Deblurring images via dark channel prior

J Pan, D Sun, H Pfister, MH Yang - IEEE transactions on pattern …, 2017 - ieeexplore.ieee.org
We present an effective blind image deblurring algorithm based on the dark channel prior.
The motivation of this work is an interesting observation that the dark channel of blurred …

Efficient and interpretable deep blind image deblurring via algorithm unrolling

Y Li, M Tofighi, J Geng, V Monga… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Blind image deblurring remains a topic of enduring interest. Learning based approaches,
especially those that employ neural networks have emerged to complement traditional …

-Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond

J Pan, Z Hu, Z Su, MH Yang - IEEE transactions on pattern …, 2016 - ieeexplore.ieee.org
We propose a simple yet effective L 0-regularized prior based on intensity and gradient for
text image deblurring. The proposed image prior is based on distinctive properties of text …

Non-uniform deblurring for shaken images

O Whyte, J Sivic, A Zisserman, J Ponce - International journal of computer …, 2012 - Springer
Photographs taken in low-light conditions are often blurry as a result of camera shake, ie a
motion of the camera while its shutter is open. Most existing deblurring methods model the …