Self-supervised image blind deblurring using deep generator prior

Yuan LI; Shasha WANG; Lei CHEN

doi:10.1007/s11801-022-1111-0

[1] NAH S, SON S, LEE S, et al. NTIRE 2021 challenge on image deblurring[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 19-25, 2021, virtual. New York:IEEE, 2021:149-165.

[2] SUN L, CHO S, WANG J, et al. Edge-based blur kernel estimation using patch priors[C]//IEEE International Conference on Computational Photography (ICCP), April 19-21, 2013, Cambridge, MA, USA. New York: IEEE, 2013:1-8.

[3] WHYTE O, SIVIC J, ZISSERMAN A, et al. Non-uniform deblurring for shaken images[J]. International journal of computer vision, 2012, 98(2):168-186.

[4] ZHOU Y, KOMODAKIS N. A map-estimation framework for blind deblurring using high-level edge priors[C]//European Conference on Computer Vision, September 6-12, 2014, Zurich, Switzerland. Berlin, Heidelberg:Springer-Verlag, 2014:142-157.

[5] ULYANOV D, VEDALDI A, LEMPITSKY V. Deep image prior[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York:IEEE, 2018:9446-9454.

[6] REN D, ZHANG K, WANG Q, et al. Neural blind deconvolution using deep priors[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 13-19, 2020, Seattle, WA, USA. New York:IEEE, 2020:3341-3350.

[7] PAN X G, ZHAN X H, DAI B, et al. Exploiting deep generative prior for versatile image restoration and manipulation[C]//European Conference on Computer Vision, August 23-28, 2020, Glasgow, UK. Berlin, Heidelberg:Springer-Verlag, 2020:262-277.

[8] LIU Z, LUO P, WANG X, et al. Deep learning face attributes in the wild[C]//Proceedings of the IEEE International Conference on Computer Vision, December 7-13, 2015, Santiago, Chile. New York:IEEE, 2015: 3730-3738.

[9] DENG J, DONG W, SOCHER R, et al. Imagenet:a large-scale hierarchical image database[C]//2009 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2009, Miami, FL, USA. New York: IEEE, 2009:248-255.

[10] LU B, CHEN J C, CHELLAPPA R. Unsupervised domain-specific deblurring via disentangled representations[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 15-20, 2019, Long Beach, USA. New York:IEEE, 2019: 10225-10234.

[11] DU W, CHEN H, YANG H. Learning invariant representation for unsupervised image restoration[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 13-19, 2020, Seattle, WA, USA. New York:IEEE, 2020:14483-14492.

[12] KUPYN O, BUDZAN V, MYKHAILYCH M, et al. Deblurgan:blind motion deblurring using conditional adversarial networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 2018:8183-8192.

[13] LAI W S, HUANG J B, HU Z, et al. A comparative study for single image blind deblurring[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 27-30, 2016, Las Vegas, NV, USA. New York:IEEE, 2016:1701-1709.

[14] KRISHNAN D, TAY T, FERGUS R. Blind deconvolution using a normalized sparsity measure[ C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2011, Colorado Springs, CO, USA. New York:IEEE, 2011: 233-240.

[15] PAN J, SUN D, PFISTER H, et al. Deblurring images via dark channel prior[J]. IEEE transactions on pattern analysis and machine intelligence, 2017, 40(10): 2315-2328.