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In this paper, we address the problem of dynamic scene deblurring in the presence of motion blur.
Removing camera shake from a single photograph
R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. T. Freeman · 2006
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Psf estimation using sharp edge prediction
N. Joshi, R. Szeliski, and D. J. Kriegman · 2008
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High-quality motion deblurring from a single image
Q. Shan, J. Jia, and A. Agarwala · 2008
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Blind motion deblurring using multiple images
J.-F. Cai, H. Ji, C. Liu, and Z. Shen · 2009
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Fast motion deblurring
S. Cho and S. Lee · 2009
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Fast image deconvolution using hyper-laplacian priors
D. Krishnan and R. Fergus · 2009
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Inferring image transformation and structure from motion-blurred images
P. Chandramouli and A. Rajagopalan · 2010
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Generating sharp panoramas from motion-blurred videos
Y. Li, S. B. Kang, N. Joshi, S. M. Seitz, and D. P. Huttenlocher · 2010
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Non-uniform deblurring for shaken images
O. Whyte, J. Sivic, A. Zisserman, and J. Ponce · 2010
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Two-phase kernel estimation for robust motion deblurring
L. Xu and J. Jia · 2010
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Blind deconvolution using a normalized sparsity measure
D. Krishnan, T. Tay, and R. Fergus · 2011
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Depth from motion and optical blur with an unscented kalman filter
C. Paramanand and A. N. Rajagopalan · 2011
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Dynamic scene deblurring
T. H. Kim, B. Ahn, and K. M. Lee · 2013
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Non-uniform motion deblurring for bilayer scenes
C. Paramanand and A. N. Rajagopalan · 2013
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A machine learning approach for non-blind image deconvolution
C. J. Schuler, H. C. Burger, S. Harmeling, and B. Schölkopf · 2013
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Non-uniform deblurring in hdr image reconstruction
C. S. Vijay, C. Paramanand, A. N. Rajagopalan, and R. Chellappa · 2013
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Unnatural l0 sparse representation for natural image deblurring
L. Xu, S. Zheng, and J. Jia · 2013
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Multi-image blind deblurring using a coupled adaptive sparse prior
H. Zhang, D. Wipf, and Y. Zhang · 2013
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Deblurring text images via l0-regularized intensity and gradient prior
J. Pan, Z. Hu, Z. Su, and M.-H. Yang · 2014
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Shape from sharp and motion-blurred image pair
C. Paramanand and A. Rajagopalan · 2014
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Harnessing motion blur to unveil splicing
M. P. Rao, A. Rajagopalan, and G. Seetharaman · 2014
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Inferring plane orientation from a single motion blurred image
M. P. Rao, A. Rajagopalan, and G. Seetharaman · 2014
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Modeling blurred video with layers
J. Wulff and M. J. Black · 2014
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Multi-shot imaging: Joint alignment, deblurring, and resolution-enhancement
H. Zhang and L. Carin · 2014
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Hand-held video deblurring via efficient fourier aggregation
M. Delbracio and G. Sapiro · 2015
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Generalized video deblurring for dynamic scenes
T. H. Kim and K. M. Lee · 2015
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Convolutional lstm network: A machine learning approach for precipitation nowcasting, 2015
X. Shi, Z. Chen, H. Wang, D.-Y. Yeung, W. kin Wong, and W. chun Woo · 2015
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Blur-invariant deep learning for blind-deblurring
T. Nimisha, A. K. Singh, and A. Rajagopalan · 2017
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Automatic differentiation in pytorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
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Deep video deblurring for hand-held cameras
S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, and O. Wang · 2017
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From local to global: Edge profiles to camera motion in blurred images
S. Vasu and A. Rajagopalan · 2017
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Learning blind motion deblurring
P. Wieschollek, M. Hirsch, B. Schölkopf, and H. P. Lensch · 2017
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Image deblurring via extreme channels prior
Y. Yan, W. Ren, Y. Guo, R. Wang, and X. Cao · 2017
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Learning a convolutional neural network for non-uniform motion blur removal
J. Sun, W. Cao, Z. Xu, and J. Ponce · 2015
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Intra-frame deblurring by leveraging inter-frame camera motion
H. Zhang and J. Yang · 2015
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A neural approach to blind motion deblurring, 2016
A. Chakrabarti · 2016
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Bilateral guided upsampling
J. Chen, A. Adams, N. Wadhwa, and S. W. Hasinoff · 2016
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Spatial transformer networks, 2016
M. Jaderberg, K. Simonyan, A. Zisserman, and K. Kavukcuoglu · 2016
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A comparative study for single image blind deblurring
W.-S. Lai, J.-B. Huang, Z. Hu, N. Ahuja, and M.-H. Yang · 2016
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Burst image deblurring using permutation invariant convolutional neural networks
M. Aittala and F. Durand · 2018
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Deblurgan: Blind motion deblurring using conditional adversarial networks, 2018
O. Kupyn, V. Budzan, M. Mykhailych, D. Mishkin, and J. Matas · 2018
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Multi-level wavelet-cnn for image restoration
P. Liu, H. Zhang, K. Zhang, L. Lin, and W. Zuo · 2018
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Generating high quality pan-shots from motion blurred videos
T. Nimisha, A. Rajagopalan, and R. Aravind · 2018
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Unsupervised class-specific deblurring
T. M. Nimisha, K. Sunil, and A. Rajagopalan · 2018
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Deblurring images via dark channel prior
J. Pan, D. Sun, H. Pfister, and M.-H. Yang · 2018
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Learning based single image blur detection and segmentation
K. Purohit, A. B. Shah, and A. Rajagopalan · 2018
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Scale-recurrent network for deep image deblurring
X. Tao, H. Gao, X. Shen, J. Wang, and J. Jia · 2018
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Non-blind deblurring: Handling kernel uncertainty with cnns
S. Vasu, V. R. Maligireddy, and A. Rajagopalan · 2018
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Dynamic scene deblurring using spatially variant recurrent neural networks
J. Zhang, J. Pan, J. Ren, Y. Song, L. Bao, R. W. Lau, and M.-H. Yang · 2018
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Unconstrained motion deblurring for dual-lens cameras
M. Mohan, S. Girish, and A. Rajagopalan · 2019
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Bringing alive blurred moments
K. Purohit, A. Shah, and A. Rajagopalan · 2019
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Region-adaptive dense network for efficient motion deblurring
K. Purohit and A. Rajagopalan · 2020
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Deep dynamic scene deblurring for unconstrained dual-lens cameras
M. M. Mohan, G. Nithin, and A. Rajagopalan · 2021
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