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Image deblurring is a classic problem in low-level computer vision with the aim to recover a sharp image from a blurred input image.
Computer Vision, Graphics, and Image Processing
Hummel, R.A., Kimia, B., Zucker, S.W.: Deblurring gaussian blur · 1987
Earlier work this paper cites.
In: IEEE International Conference on Acoustics, Speech, and Signal Processing (1993)
Mitsa, T., Varkur, K.L.: Evaluation of contrast sensitivity functions for the formulation of quality measures incorporated in halftoning algorithms · 1993
Earlier work this paper cites.
Pattern Recognition
Vairy, M., Venkatesh, Y.V.: Deblurring gaussian blur using a wavelet array transform · 1995
Earlier work this paper cites.
In: The IEEE International Symposium on Circuits and Systems, vol. 3, pp. 1–4 (1999)
Fiori, S., Uncini, A., Piazza, F.: Blind deconvolution by modified bussgang algorithm · 1999
Earlier work this paper cites.
IEEE Transactions on Image Processing
Damera-Venkata, N., Kite, T.D., Geisler, W.S., Evans, B.L., Bovik, A.C.: Image quality assessment based on a degradation model · 2000
Earlier work this paper cites.
In: IEEE International Conference on Computer Vision (2001)
Martin, D., Fowlkes, C., Tal, D., Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics · 2001
Earlier work this paper cites.
In: IEEE International Conference on Automatic Face Gesture Recognition (2002)
Sim, T., Baker, S., Bsat, M.: The cmu pose, illumination, and expression (PIE) database · 2002
Earlier work this paper cites.
IEEE signal processing letters
Wang, Z., Bovik, A.C.: A universal image quality index · 2002
Earlier work this paper cites.
IEEE Transactions on Image Processing
Panci, G., Campisi, P., Colonnese, S., Scarano, G.: Multichannel blind image deconvolution using the bussgang algorithm: Spatial and multiresolution approaches · 2003
Earlier work this paper cites.
In: The Asilomar Conference on Signals, Systems, and Computers (2003)
Wang, Z., Simoncelli, E.P., Bovik, A.C.: Multiscale structural similarity for image quality assessment · 2003
Earlier work this paper cites.
IEEE Transactions on Image Processing
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity · 2004
Earlier work this paper cites.
IEEE Transactions on Image Processing
Sheikh, H.R., Bovik, A.C., De Veciana, G.: An information fidelity criterion for image quality assessment using natural scene statistics · 2005
Earlier work this paper cites.
In: ACM SIGGRAPH (2006)
Fergus, R., Singh, B., Hertzmann, A., Roweis, S.T., Freeman, W.T.: Removing camera shake from a single photograph · 2006
Earlier work this paper cites.
IEEE Transactions on Image Processing
Sheikh, H.R., Bovik, A.C.: Image information and visual quality · 2006
Earlier work this paper cites.
Computer Graphics Forum
Bae, S., Durand, F.: Defocus magnification · 2007
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2007)
Kang, S.B.: Automatic removal of chromatic aberration from a single image · 2007
Earlier work this paper cites.
IEEE Transactions on Signal Processing
Chen, F., Ma, J.: An empirical identification method of gaussian blur parameter for image deblurring · 2009
Earlier work this paper cites.
In: ACM SIGGRAPH Asia (2009)
Cho, S., Lee, S.: Fast motion deblurring · 2009
Earlier work this paper cites.
In: Advances in Neural Information Processing Systems (2009)
Krishnan, D., Fergus, R.: Fast image deconvolution using hyper-laplacian priors · 2009
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2009)
Levin, A., Weiss, Y., Durand, F., Freeman, W.T.: Understanding and evaluating blind deconvolution algorithms · 2009
Earlier work this paper cites.
In: IEEE International Conference on Computer Vision Workshop (2009)
Zhang, W., Cham, W.K.: Single image focus editing · 2009
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2010)
Chakrabarti, A., Zickler, T., Freeman, W.T.: Analyzing spatially-varying blur · 2010
Earlier work this paper cites.
In: IEEE International Conference on Pattern Recognition (2010)
Hore, A., Ziou, D.: Image quality metrics: Psnr vs. ssim · 2010
Earlier work this paper cites.
IEEE Signal Processing Letters
Moorthy, A.K., Bovik, A.C.: A two-step framework for constructing blind image quality indices · 2010
Earlier work this paper cites.
Springer Science & Business Media (2010)
Szeliski, R.: Computer vision: algorithms and applications · 2010
Earlier work this paper cites.
In: European Conference on Computer Vision (2010)
Xu, L., Jia, J.: Two-phase kernel estimation for robust motion deblurring · 2010
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2011)
Chen, X., He, X., Yang, J., Wu, Q.: An effective document image deblurring algorithm · 2011
Earlier work this paper cites.
In: IEEE International Conference on Computer Vision (2011)
Cho, S., Wang, J., Lee, S.: Handling outliers in non-blind image deconvolution · 2011
Earlier work this paper cites.
In: IEEE International Conference on Computer Vision (2011)
Hirsch, M., Schuler, C.J., Harmeling, S., Schölkopf, B.: Fast removal of non-uniform camera shake · 2011
Earlier work this paper cites.
In: Symposium Iberoamericano de Computacion Grafica (2011)
Masia, B., Corrales, A., Presa, L., Gutierrez, D.: Coded apertures for defocus deblurring · 2011
Earlier work this paper cites.
IEEE Transactions on Image Processing
Moorthy, A.K., Bovik, A.C.: Blind image quality assessment: From natural scene statistics to perceptual quality · 2011
Earlier work this paper cites.
IEEE Transactions on Image Processing
Son, C.H., Park, H.M.: A pair of noisy/blurry patches-based psf estimation and channel-dependent deblurring · 2011
Earlier work this paper cites.
In: IEEE International Conference on Computer Vision (2011)
Zoran, D., Weiss, Y.: From learning models of natural image patches to whole image restoration · 2011
Earlier work this paper cites.
IEEE Transactions on Image Processing
Boracchi, G., Foi, A.: Modeling the performance of image restoration from motion blur · 2012
Earlier work this paper cites.
In: European Conference on Computer Vision (2012)
Cho, H., Wang, J., Lee, S.: Text image deblurring using text-specific properties · 2012
Earlier work this paper cites.
In: European Conference on Computer Vision (2012)
Köhler, R., Hirsch, M., Mohler, B., Schölkopf, B., Harmeling, S.: Recording and playback of camera shake: Benchmarking blind deconvolution with a real-world database · 2012
Earlier work this paper cites.
In: European Conference on Computer Vision (2012)
Le, V., Brandt, J., Lin, Z., Bourdev, L., Huang, T.S.: Interactive facial feature localization · 2012
Earlier work this paper cites.
IEEE Transactions on Image Processing
Mittal, A., Moorthy, A.K., Bovik, A.C.: No-reference image quality assessment in the spatial domain · 2012
Earlier work this paper cites.
IEEE Signal Processing Letters
Mittal, A., Soundararajan, R., Bovik, A.C.: Making a “completely blind” image quality analyzer · 2012
Earlier work this paper cites.
IEEE Transactions on Image Processing
Saad, M.A., Bovik, A.C., Charrier, C.: Blind image quality assessment: A natural scene statistics approach in the dct domain · 2012
Earlier work this paper cites.
In: IEEE International Conference on Computational Photography (2012)
Sun, L., Hays, J.: Super-resolution from internet-scale scene matching · 2012
Earlier work this paper cites.
International Journal of Computer Vision
Whyte, O., Sivic, J., Zisserman, A., Ponce, J.: Non-uniform deblurring for shaken images · 2012
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2012)
Ye, P., Kumar, J., Kang, L., Doermann, D.: Unsupervised feature learning framework for no-reference image quality assessment · 2012
Earlier work this paper cites.
In: IEEE International Conference on Computer Vision (2013)
Hacohen, Y., Shechtman, E., Lischinski, D.: Deblurring by example using dense correspondence · 2013
Earlier work this paper cites.
In: IEEE International Conference on Computer Vision (2013)
Hyun Kim, T., Ahn, B., Mu Lee, K.: Dynamic scene deblurring · 2013
Earlier work this paper cites.
In: IEEE International Conference on Computer Vision (2013)
Jiang, P., Ling, H., Yu, J., Peng, J.: Salient region detection by ufo: Uniqueness, focusness and objectness · 2013
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2013)
Schmidt, U., Rother, C., Nowozin, S., Jancsary, J., Roth, S.: Discriminative non-blind deblurring · 2013
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1067–1074 (2013)
Schuler, C.J., Christopher Burger, H., Harmeling, S., Scholkopf, B.: A machine learning approach for non-blind image deconvolution · 2013
Earlier work this paper cites.
In: IEEE International Conference on Computational Photography (2013)
Sun, L., Cho, S., Wang, J., Hays, J.: Edge-based blur kernel estimation using patch priors · 2013
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2013)
Xu, L., Zheng, S., Jia, J.: Unnatural l0 sparse representation for natural image deblurring · 2013
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2013)
Zhong, L., Cho, S., Metaxas, D., Paris, S., Wang, J.: Handling noise in single image deblurring using directional filters · 2013
Earlier work this paper cites.
In: Advances in Neural Information Processing Systems (2014)
Eigen, D., Puhrsch, C., Fergus, R.: Depth map prediction from a single image using a multi-scale deep network · 2014
Earlier work this paper cites.
IEEE Transactions on Image Processing
Kheradmand, A., Milanfar, P.: A general framework for regularized, similarity-based image restoration · 2014
Earlier work this paper cites.
Signal Processing: Image Communication
Liu, L., Liu, B., Huang, H., Bovik, A.C.: No-reference image quality assessment based on spatial and spectral entropies · 2014
Earlier work this paper cites.
In: European Conference on Computer Vision (2014)
Michaeli, T., Irani, M.: Blind deblurring using internal patch recurrence · 2014
Earlier work this paper cites.
In: European Conference on Computer Vision (2014)
Pan, J., Hu, Z., Su, Z., Yang, M.H.: Deblurring face images with exemplars · 2014
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2014)
Pan, J., Hu, Z., Su, Z., Yang, M.H.: Deblurring text images via l0-regularized intensity and gradient prior · 2014
Earlier work this paper cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2014)
Shi, J., Xu, L., Jia, J.: Discriminative blur detection features · 2014
Cited alongside, same era.
arXiv preprint arXiv:1409.1556 (2014)
Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition · 2014
Cited alongside, same era.
International Journal of Computer Vision
Whyte, O., Sivic, J., Zisserman, A.: Deblurring shaken and partially saturated images · 2014
Cited alongside, same era.
In: Advances in Neural Information Processing Systems (2014)
Xu, L., Ren, J.S., Liu, C., Jia, J.: Deep convolutional neural network for image deconvolution · 2014
Cited alongside, same era.
In: European Conference on Computer Vision (2014)
Xu, L., Tao, X., Jia, J.: Inverse kernels for fast spatial deconvolution · 2014
Cited alongside, same era.
IEEE Transactions on Image Processing
In: European Conference on Computer Vision (2018)
Madam Nimisha, T., Sunil, K., Rajagopalan, A.: Unsupervised class-specific deblurring · 2018
Later among the works it cites.
In: International Conference on Machine Learning (2018)
Pham, H., Guan, M., Zoph, B., Le, Q., Dean, J.: Efficient neural architecture search via parameters sharing · 2018
Later among the works it cites.
In: Advances in Neural Information Processing Systems (2018)
Ren, W., Zhang, J., Ma, L., Pan, J., Cao, X., Zuo, W., Liu, W., Yang, M.H.: Deep non-blind deconvolution via generalized low-rank approximation · 2018
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2018)
Shen, Z., Lai, W.S., Xu, T., Kautz, J., Yang, M.H.: Deep semantic face deblurring · 2018
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2018)
Sun, D., Yang, X., Liu, M.Y., Kautz, J.: PWC-Net: Cnns for optical flow using pyramid, warping, and cost volume · 2018
Later among the works it cites.
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Chen, S.J., Shen, H.L.: Multispectral image out-of-focus deblurring using interchannel correlation · 2015
Cited alongside, same era.
In: Advances in Neural Information Processing Systems (2015)
Denton, E.L., Chintala, S., Fergus, R., et al.: Deep generative image models using a laplacian pyramid of adversarial networks · 2015
Cited alongside, same era.
In: British Machine Vision Conference (2015)
Hradiš, M., Kotera, J., Zemcık, P., Šroubek, F.: Convolutional neural networks for direct text deblurring · 2015
Cited alongside, same era.
In: IEEE International Conference on Computer Vision (2015)
Liu, Z., Luo, P., Wang, X., Tang, X.: Deep learning face attributes in the wild · 2015
Cited alongside, same era.
In: Advances in Neural Information Processing Systems (2015)
Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks · 2015
Cited alongside, same era.
IEEE Transactions on Pattern Analysis and Machine Intelligence
Schuler, C.J., Hirsch, M., Harmeling, S., Schölkopf, B.: Learning to deblur · 2015
Cited alongside, same era.
In: IEEE Conference on Computer Vision and Pattern Recognition (2015)
Sun, J., Cao, W., Xu, Z., Ponce, J.: Learning a convolutional neural network for non-uniform motion blur removal · 2015
Cited alongside, same era.
In: IEEE Conference on Computer Vision and Pattern Recognition (2018)
Tao, X., Gao, H., Shen, X., Wang, J., Jia, J.: Scale-recurrent network for deep image deblurring · 2018
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2018)
Zhang, J., Pan, J., Ren, J., Song, Y., Bao, L., Lau, R.W., Yang, M.H.: Dynamic scene deblurring using spatially variant recurrent neural networks · 2018
Later among the works it cites.
IEEE Transactions on Image Processing
Zhang, K., Luo, W., Zhong, Y., Ma, L., Liu, W., Li, H.: Adversarial spatio-temporal learning for video deblurring · 2018
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2018)
Zhang, K., Zuo, W., Zhang, L.: Learning a single convolutional super-resolution network for multiple degradations · 2018
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2018)
Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric · 2018
Later among the works it cites.
arXiv preprint arXiv:1807.10806 (2018)
Zhang, X., Dong, H., Hu, Z., Lai, W.S., Wang, F., Yang, M.H.: Gated fusion network for joint image deblurring and super-resolution · 2018
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Aljadaany, R., Pal, D.K., Savvides, M.: Douglas-rachford networks: Learning both the image prior and data fidelity terms for blind image deconvolution · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Brooks, T., Barron, J.T.: Learning to synthesize motion blur · 2019
Later among the works it cites.
International Journal of Computer Vision
Chrysos, G.G., Favaro, P., Zafeiriou, S.: Motion deblurring of faces · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Gao, H., Tao, X., Shen, X., Jia, J.: Dynamic scene deblurring with parameter selective sharing and nested skip connections · 2019
Later among the works it cites.
arXiv preprint arXiv:1906.03973 (2019)
Kettunen, M., Härkönen, E., Lehtinen, J.: E-lpips: robust perceptual image similarity via random transformation ensembles · 2019
Later among the works it cites.
In: IEEE International Conference on Computer Vision (2019)
Kupyn, O., Martyniuk, T., Wu, J., Wang, Z.: Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better · 2019
Later among the works it cites.
arXiv preprint arXiv:1902.03493 (2019)
Li, Y., Tofighi, M., Geng, J., Monga, V., Eldar, Y.: Deep algorithm unrolling for blind image deblurring · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Lu, B., Chen, J.C., Chellappa, R.: Unsupervised domain-specific deblurring via disentangled representations · 2019
Later among the works it cites.
arXiv preprint arXiv:1904.00352 (2019)
Lumentut, J.S., Kim, T.H., Ramamoorthi, R., Park, I.K.: Fast and full-resolution light field deblurring using a deep neural network · 2019
Later among the works it cites.
In: IEEE Winter Conference on Applications of Computer Vision (2019)
Mustaniemi, J., Kannala, J., Särkkä, S., Matas, J., Heikkila, J.: Gyroscope-aided motion deblurring with deep networks · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition Workshop (2019)
Nah, S., Baik, S., Hong, S., Moon, G., Son, S., Timofte, R., Mu Lee, K.: Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Nah, S., Son, S., Lee, K.M.: Recurrent neural networks with intra-frame iterations for video deblurring · 2019
Later among the works it cites.
arXiv preprint arXiv:1903.11394 (2019)
Purohit, K., Rajagopalan, A.: Region-adaptive dense network for efficient motion deblurring · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Purohit, K., Shah, A., Rajagopalan, A.: Bringing alive blurred moments · 2019
Later among the works it cites.
arXiv preprint arXiv:1908.02197 (2019)
Ren, D., Zhang, K., Wang, Q., Hu, Q., Zuo, W.: Neural blind deconvolution using deep priors · 2019
Later among the works it cites.
In: IEEE International Conference on Computer Vision (2019)
Ren, W., Yang, J., Deng, S., Wipf, D., Cao, X., Tong, X.: Face video deblurring using 3d facial priors · 2019
Later among the works it cites.
In: IEEE International Conference on Computer Vision (2019)
Shen, Z., Wang, W., Lu, X., Shen, J., Ling, H., Xu, T., Shao, L.: Human-aware motion deblurring · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition Workshop (2019)
Sim, H., Kim, M.: A deep motion deblurring network based on per-pixel adaptive kernels with residual down-up and up-down modules · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Tang, C., Zhu, X., Liu, X., Wang, L., Zomaya, A.: Defusionnet: Defocus blur detection via recurrently fusing and refining multi-scale deep features · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition Workshop (2019)
Wang, X., Chan, K.C., Yu, K., Dong, C., Change Loy, C.: EDVR: Video restoration with enhanced deformable convolutional networks · 2019
Later among the works it cites.
arXiv preprint arXiv:1907.13106 (2019)
Yasarla, R., Perazzi, F., Patel, V.M.: Deblurring face images using uncertainty guided multi-stream semantic networks · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Zhang, H., Dai, Y., Li, H., Koniusz, P.: Deep stacked hierarchical multi-patch network for image deblurring · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Zhang, K., Zuo, W., Zhang, L.: Deep plug-and-play super-resolution for arbitrary blur kernels · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Zhao, W., Zheng, B., Lin, Q., Lu, H.: Enhancing diversity of defocus blur detectors via cross-ensemble network · 2019
Later among the works it cites.
In: IEEE International Conference on Computer Vision (2019)
Zhou, S., Zhang, J., Pan, J., Xie, H., Zuo, W., Ren, J.: Spatio-temporal filter adaptive network for video deblurring · 2019
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
Zhou, S., Zhang, J., Zuo, W., Xie, H., Pan, J., Ren, J.S.: Davanet: Stereo deblurring with view aggregation · 2019
Later among the works it cites.
In: European Conference on Computer Vision (2020)
Abuolaim, A., Brown, M.S.: Defocus deblurring using dual-pixel data · 2020
Later among the works it cites.
Advances in Neural Information Processing Systems (2020)
Dong, J., Roth, S., Schiele, B.: Deep wiener deconvolution: Wiener meets deep learning for image deblurring · 2020
Later among the works it cites.
IEEE Transactions on Neural Networks and Learning Systems (2020)
Gong, D., Zhang, Z., Shi, Q., van den Hengel, A., Shen, C., Zhang, Y.: Learning deep gradient descent optimization for image deconvolution · 2020
Later among the works it cites.
arXiv preprint arXiv:2004.05794 (2020)
Jiang, Z., Zhang, Y., Zou, D., Ren, J., Lv, J., Liu, Y.: Learning event-based motion deblurring · 2020
Later among the works it cites.
arXiv preprint arXiv:2004.02956 (2020)
Kaufman, A., Fattal, R.: Deblurring using analysis-synthesis networks pair · 2020
Later among the works it cites.
IEEE Transactions on Image Processing
Li, L., Pan, J., Lai, W.S., Gao, C., Sang, N., Yang, M.H.: Dynamic scene deblurring by depth guided model · 2020
Later among the works it cites.
In: European Conference on Computer Vision (2020)
Lin, S., Zhang, J., Pan, J., Jiang, Z., Zou, D., Wang, Y., Chen, J., Ren, J.: Learning event-driven video deblurring and interpolation · 2020
Later among the works it cites.
arXiv preprint arXiv:2005.01244 (2020)
Nah, S., Son, S., Timofte, R., Lee, K.M.: Ntire 2020 challenge on image and video deblurring · 2020
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2020)
Nan, Y., Quan, Y., Ji, H.: Variational-em-based deep learning for noise-blind image deblurring · 2020
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2020)
Pan, J., Bai, H., Tang, J.: Cascaded deep video deblurring using temporal sharpness prior · 2020
Later among the works it cites.
In: European Conference on Computer Vision (2020)
Park, P.D., Kang, D.U., Kim, J., Chun, S.Y.: Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training · 2020
Later among the works it cites.
In: European Conference on Computer Vision (2020)
Rim, J., Lee, H., Won, J., Cho, S.: Real-world blur dataset for learning and benchmarking deblurring algorithms · 2020
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2020)
Shen, W., Bao, W., Zhai, G., Chen, L., Min, X., Gao, Z.: Blurry video frame interpolation · 2020
Later among the works it cites.
International Journal of Computer Vision pp. 1–18 (2020)
Shen, Z., Lai, W.S., Xu, T., Kautz, J., Yang, M.H.: Exploiting semantics for face image deblurring · 2020
Later among the works it cites.
arXiv preprint arXiv:2004.05343 (2020)
Suin, M., Purohit, K., Rajagopalan, A.: Spatially-attentive patch-hierarchical network for adaptive motion deblurring · 2020
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2020)
Zhang, K., Luo, W., Zhong, Y., Stenger, B., Ma, L., Liu, W., Li, H.: Deblurring by realistic blurring · 2020
Later among the works it cites.
In: IEEE Conference on Computer Vision and Pattern Recognition (2020)
Zhang, K., Van Gool, L., Timofte, R.: Deep unfolding network for image super-resolution · 2020
Later among the works it cites.
In: European Conference on Computer Vision (2020)
Zhong, Z., Gao, Y., Yinqiang, Z., Bo, Z.: Efficient spatio-temporal recurrent neural network for video deblurring · 2020
Later among the works it cites.
IEEE Transactions on Image Processing
Gu, C., Lu, X., He, Y., Zhang, C.: Blur removal via blurred-noisy image pair · 2021
Later among the works it cites.