Image Super-Resolution

Image Super-Resolution is a machine learning task where the goal is to increase the resolution of an image, often by a factor of 4x or more, while maintaining its content and details as much as possible. The end result is a high-resolution version of the original image. This task can be used for various applications such as improving image quality, enhancing visual detail, and increasing the accuracy of computer vision algorithms.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1501–1525 of 1589 papers

Title	Date	Tasks	Status	Hype
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution	Apr 12, 2017	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Detail-revealing Deep Video Super-resolution	Apr 10, 2017	Image Super-ResolutionMotion Compensation	CodeCode Available	0
Single Image Super Resolution - When Model Adaptation Matters	Mar 31, 2017	Image Super-ResolutionSuper-Resolution	—Unverified	0
Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild	Mar 23, 2017	3D Face AlignmentFace Alignment	—Unverified	0
Single Image Super-resolution via a Lightweight Residual Convolutional Neural Network	Mar 23, 2017	Image Super-ResolutionSSIM	—Unverified	0
Single image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction	Mar 18, 2017	Image Super-ResolutionSuper-Resolution	—Unverified	0
Convolutional Low-Resolution Fine-Grained Classification	Mar 15, 2017	ClassificationFine-Grained Image Classification	—Unverified	0
GUN: Gradual Upsampling Network for Single Image Super-Resolution	Mar 13, 2017	Image Super-ResolutionSuper-Resolution	—Unverified	0
Local Patch Encoding-Based Method for Single Image Super-Resolution	Mar 12, 2017	Dictionary LearningImage Super-Resolution	—Unverified	0
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution	Mar 9, 2017	Image Super-ResolutionSuper-Resolution	—Unverified	0
Manifold Based Low-rank Regularization for Image Restoration and Semi-supervised Learning	Feb 9, 2017	Image InpaintingImage Reconstruction	—Unverified	0
Language Independent Single Document Image Super-Resolution using CNN for improved recognition	Jan 30, 2017	Image EnhancementImage Super-Resolution	—Unverified	0
Super-resolution Using Constrained Deep Texture Synthesis	Jan 26, 2017	Image Super-ResolutionSuper-Resolution	—Unverified	0
Dual Recovery Network with Online Compensation for Image Super-Resolution	Jan 20, 2017	Image Super-ResolutionSuper-Resolution	—Unverified	0
Joint Dictionary Learning for Example-based Image Super-resolution	Jan 12, 2017	Dictionary LearningImage Super-Resolution	—Unverified	0
Learning a Mixture of Deep Networks for Single Image Super-Resolution	Jan 3, 2017	Image Super-ResolutionSuper-Resolution	—Unverified	0
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis	Dec 23, 2016	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Learning a No-Reference Quality Metric for Single-Image Super-Resolution	Dec 18, 2016	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Learning Parametric Sparse Models for Image Super-Resolution	Dec 1, 2016	Image Super-ResolutionSuper-Resolution	—Unverified	0
Texture Enhancement via High-Resolution Style Transfer for Single-Image Super-Resolution	Dec 1, 2016	Image Super-ResolutionStyle Transfer	—Unverified	0
Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification	Nov 19, 2016	Color Image DenoisingDenoising	CodeCode Available	0
Amortised MAP Inference for Image Super-resolution	Oct 14, 2016	DenoisingImage Super-Resolution	—Unverified	0
Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints	Oct 4, 2016	Dictionary LearningImage Super-Resolution	—Unverified	0
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network	Sep 16, 2016	GPUImage Super-Resolution	CodeCode Available	1
Transport-based analysis, modeling, and learning from signal and data distributions	Sep 15, 2016	Image Super-ResolutionRetrieval	—Unverified	0

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All datasets Set14 - 4x upscaling BSD100 - 4x upscaling Urban100 - 4x upscaling Manga109 - 4x upscaling Set5 - 2x upscaling Set14 - 2x upscaling Set5 - 3x upscaling BSD100 - 2x upscaling Urban100 - 2x upscaling Set14 - 3x upscaling Urban100 - 3x upscaling BSD100 - 3x upscaling

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DRCT-L	PSNR	29.54	—	Unverified
2	HMA†	PSNR	29.51	—	Unverified
3	Hi-IR-L	PSNR	29.49	—	Unverified
4	HAT-L	PSNR	29.47	—	Unverified
5	HAT_FIR	PSNR	29.44	—	Unverified
6	DRCT	PSNR	29.4	—	Unverified
7	HAT	PSNR	29.38	—	Unverified
8	CPAT+	PSNR	29.36	—	Unverified
9	SwinFIR	PSNR	29.36	—	Unverified
10	CPAT	PSNR	29.34	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DRCT-L	PSNR	28.16	—	Unverified
2	HMA†	PSNR	28.13	—	Unverified
3	Hi-IR-L	PSNR	28.13	—	Unverified
4	HAT-L	PSNR	28.09	—	Unverified
5	HAT_FIR	PSNR	28.07	—	Unverified
6	CPAT+	PSNR	28.06	—	Unverified
7	DRCT	PSNR	28.06	—	Unverified
8	HAT	PSNR	28.05	—	Unverified
9	CPAT	PSNR	28.04	—	Unverified
10	SwinFIR	PSNR	28.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hi-IR-L	PSNR	28.72	—	Unverified
2	DRCT-L	PSNR	28.7	—	Unverified
3	HMA†	PSNR	28.69	—	Unverified
4	HAT-L	PSNR	28.6	—	Unverified
5	HAT_FIR	PSNR	28.43	—	Unverified
6	DRCT	PSNR	28.4	—	Unverified
7	HAT	PSNR	28.37	—	Unverified
8	CPAT+	PSNR	28.33	—	Unverified
9	CPAT	PSNR	28.22	—	Unverified
10	PFT	PSNR	28.2	—	Unverified