2020 papers.md

2020 Papers

Here is a list of research papers published in 2020 related to image and video deblurring:

Venue	Paper	Link
NeurIPS	Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring	DWDN
IEEE	Raw Image Deblurring	Raw Image Deblurring
TCSVT	A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image Deblurring	Deblur-PMP
ECCV	End-to-end Interpretable Learning of Non-blind Image Deblurring	CPCR
IJCV	Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks	DAU-ConvNet
TNNLS	Learning Deep Gradient Descent Optimization for Image Deconvolution	Learn-Optimizer-RGDN
TCSVT	Deep Convolutional-Neural-Network-Based Channel Attention for Single Image Dynamic Scene Blind Deblurring	-
CVPR	Cascaded Deep Video Deblurring Using Temporal Sharpness Prior	CDVD-TSP
CVPR	Learning Event-Based Motion Deblurring	-
CVPR	Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring	VEM-NBD
CVPR	Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training	-
CVPR	Deblurring by Realistic Blurring	Deblurring-by-Realistic-Blurring
CVPR	Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring	-
CVPR	Deblurring Using Analysis-Synthesis Networks Pair	-
ECCV	Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring	ESTRNN
ECCV	Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training	MTRNN
ECCV	Learning Event-Driven Video Deblurring and Interpolation	LEDVDI
ECCV	Defocus Deblurring Using Dual-Pixel Data	defocus-deblurring-dual-pixel
ECCV	Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms	RealBlur
ECCV	OID: Outlier Identifying and Discarding in Blind Image Deblurring	OID
ECCV	Enhanced Sparse Model for Blind Deblurring	Enhanced Sparse Model