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 1426–1450 of 1589 papers

Title	Date	Tasks	Status	Hype
Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network	Jun 5, 2018	Image Super-ResolutionSuper-Resolution	—Unverified	0
Feature Super-Resolution: Make Machine See More Clearly	Jun 1, 2018	Generative Adversarial NetworkImage Super-Resolution	—Unverified	0
Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior	Jun 1, 2018	Image Super-ResolutionStereo Image Super-Resolution	—Unverified	0
Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution	May 24, 2018	Image Super-ResolutionSuper-Resolution	—Unverified	0
A hybrid approach of interpolations and CNN to obtain super-resolution	May 23, 2018	Image Super-ResolutionSuper-Resolution	—Unverified	0
Multi-level Wavelet-CNN for Image Restoration	May 18, 2018	Computational EfficiencyDenoising	CodeCode Available	0
New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution	May 9, 2018	DenoisingImage Super-Resolution	CodeCode Available	0
Image Super-Resolution via Dual-State Recurrent Networks	May 7, 2018	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Large Receptive Field Networks for High-Scale Image Super-Resolution	Apr 22, 2018	Image Super-ResolutionSSIM	—Unverified	0
Densely Connected High Order Residual Network for Single Frame Image Super Resolution	Apr 16, 2018	Image RestorationImage Super-Resolution	—Unverified	0
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution	Apr 13, 2018	DecoderHyperspectral Image Super-Resolution	—Unverified	0
An efficient CNN for spectral reconstruction from RGB images	Apr 12, 2018	Image Super-ResolutionSpectral Reconstruction	CodeCode Available	1
A two-stage 3D Unet framework for multi-class segmentation on full resolution image	Apr 12, 2018	Image Super-ResolutionSegmentation	—Unverified	0
Reference-Conditioned Super-Resolution by Neural Texture Transfer	Apr 10, 2018	Image StylizationImage Super-Resolution	—Unverified	0
A Fully Progressive Approach to Single-Image Super-Resolution	Apr 9, 2018	Generative Adversarial NetworkImage Super-Resolution	CodeCode Available	0
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform	Apr 9, 2018	Image Super-ResolutionSemantic Segmentation	CodeCode Available	3
Task-Driven Super Resolution: Object Detection in Low-resolution Images	Mar 30, 2018	Image Super-ResolutionObject	—Unverified	0
Fast and Accurate Single Image Super-Resolution via Information Distillation Network	Mar 26, 2018	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction	Mar 23, 2018	Image Quality AssessmentImage Super-Resolution	—Unverified	0
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network	Mar 23, 2018	Deep LearningImage Super-Resolution	CodeCode Available	0
Maintaining Natural Image Statistics with the Contextual Loss	Mar 13, 2018	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Deep Back-Projection Networks For Super-Resolution	Mar 7, 2018	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network	Mar 4, 2018	Generative Adversarial NetworkImage Super-Resolution	CodeCode Available	0
Single Image Super-Resolution via Cascaded Multi-Scale Cross Network	Feb 24, 2018	Image ReconstructionImage Super-Resolution	—Unverified	0
Residual Dense Network for Image Super-Resolution	Feb 24, 2018	Color Image DenoisingImage Super-Resolution	CodeCode Available	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	SwinFIR	PSNR	29.36	—	Unverified
9	CPAT+	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