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

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Showing 1226–1250 of 1589 papers

Title	Date	Tasks	Status
Texture Hallucination for Large-Factor Painting Super-Resolution	Dec 1, 2019	4kHallucination	—Unverified
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers	Nov 30, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available
Deep Decomposition Learning for Inverse Imaging Problems	Nov 25, 2019	Compressive SensingImage Super-Resolution	CodeCode Available
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images	Nov 25, 2019	Image Super-ResolutionOptical Character Recognition (OCR)	—Unverified
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution	Nov 25, 2019	Generative Adversarial NetworkImage Super-Resolution	CodeCode Available
Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss	Nov 21, 2019	Image Super-ResolutionSuper-Resolution	—Unverified
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution	Nov 20, 2019	Generative Adversarial NetworkImage Super-Resolution	—Unverified
Frequency Separation for Real-World Super-Resolution	Nov 18, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available
Fine-Grained Neural Architecture Search	Nov 18, 2019	image-classificationImage Classification	—Unverified
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results	Nov 18, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available
Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing	Nov 18, 2019	Deep LearningDenoising	—Unverified
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination	Nov 9, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available
Perception-oriented Single Image Super-Resolution via Dual Relativistic Average Generative Adversarial Networks	Nov 8, 2019	Image Super-ResolutionSSIM	—Unverified
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging	Nov 6, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results	Nov 4, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available
Training Set Effect on Super Resolution for Automated Target Recognition	Oct 29, 2019	Binary ClassificationGeneral Classification	—Unverified
Multimodal Image Super-resolution via Deep Unfolding with Side Information	Oct 18, 2019	Image Super-ResolutionSuper-Resolution	—Unverified
Image Super-Resolution via Attention based Back Projection Networks	Oct 10, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available
Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-Resolution	Oct 9, 2019	Generative Adversarial NetworkImage Super-Resolution	CodeCode Available
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion	Oct 9, 2019	DenoisingImage Denoising	—Unverified
Unsupervised Image Super-Resolution with an Indirect Supervised Path	Oct 7, 2019	Image Super-ResolutionSuper-Resolution	—Unverified
Image Super-Resolution Improved by Edge Information	Oct 6, 2019	Image Super-ResolutionMS-SSIM	CodeCode Available
Kernel Modeling Super-Resolution on Real Low-Resolution Images	Oct 1, 2019	Generative Adversarial NetworkImage Super-Resolution	CodeCode Available
Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution	Oct 1, 2019	Image Super-ResolutionSuper-Resolution	—Unverified
Unsupervised Projection Networks for Generative Adversarial Networks	Sep 30, 2019	ClusteringImage Super-Resolution	—Unverified

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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