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 1276–1300 of 1589 papers

Title	Date	Tasks	Status	Hype
Learning Resolution-Invariant Deep Representations for Person Re-Identification	Jul 25, 2019	Image Super-ResolutionPerson Re-Identification	—Unverified	0
Progressive Perception-Oriented Network for Single Image Super-Resolution	Jul 24, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Image Super-Resolution Using a Wavelet-based Generative Adversarial Network	Jul 24, 2019	Generative Adversarial NetworkImage Super-Resolution	CodeCode Available	0
Learned Image Downscaling for Upscaling using Content Adaptive Resampler	Jul 22, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available	1
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images	Jul 15, 2019	Image Super-ResolutionMulti-Frame Super-Resolution	CodeCode Available	0
Single Image Super-Resolution via CNN Architectures and TV-TV Minimization	Jul 11, 2019	Image Super-ResolutionSSIM	CodeCode Available	1
Hybrid Residual Attention Network for Single Image Super Resolution	Jul 11, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Enhanced generative adversarial network for 3D brain MRI super-resolution	Jul 10, 2019	Generative Adversarial NetworkImage Super-Resolution	—Unverified	0
Gated Multiple Feedback Network for Image Super-Resolution	Jul 9, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
FC^2N: Fully Channel-Concatenated Network for Single Image Super-Resolution	Jul 7, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Multi-level Wavelet Convolutional Neural Networks	Jul 6, 2019	Computational EfficiencyDenoising	CodeCode Available	0
MRI Super-Resolution with Ensemble Learning and Complementary Priors	Jul 6, 2019	Ensemble LearningGenerative Adversarial Network	—Unverified	0
Distilling with Residual Network for Single Image Super Resolution	Jul 5, 2019	Image ReconstructionImage Super-Resolution	—Unverified	0
Image Super-Resolution Using Attention Based DenseNet with Residual Deconvolution	Jul 3, 2019	Image Super-ResolutionSuper-Resolution	—Unverified	0
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks	Jul 3, 2019	Earth ObservationImage Super-Resolution	—Unverified	0
Densely Residual Laplacian Super-Resolution	Jun 28, 2019	Image Super-Resolution	CodeCode Available	0
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy	Jun 18, 2019	Image Super-ResolutionSSIM	—Unverified	0
Exemplar Guided Face Image Super-Resolution without Facial Landmarks	Jun 17, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
Hierarchical Back Projection Network for Image Super-Resolution	Jun 17, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available	0
On training deep networks for satellite image super-resolution	Jun 16, 2019	Image Super-Resolutionsatellite image super-resolution	—Unverified	0
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution	Jun 15, 2019	Deep LearningImage Super-Resolution	CodeCode Available	0
Single Image Super-resolution via Dense Blended Attention Generative Adversarial Network for Clinical Diagnosis	Jun 15, 2019	Generative Adversarial NetworkGPU	—Unverified	0
Unsupervised Image Noise Modeling with Self-Consistent GAN	Jun 13, 2019	DenoisingImage Denoising	—Unverified	0
Image-Adaptive GAN based Reconstruction	Jun 12, 2019	compressed sensingImage Super-Resolution	CodeCode Available	0
Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior	Jun 11, 2019	Blind Image DeblurringDeblurring	—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	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