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 1451–1475 of 1589 papers

Title	Date	Tasks	Status
Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment	May 27, 2022	Image Quality AssessmentImage Super-Resolution	CodeCode Available
Image Super-resolution via Feature-augmented Random Forest	Dec 14, 2017	Content-Based Image RetrievalDictionary Learning	CodeCode Available
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution	Aug 18, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks	Sep 3, 2018	Image Super-ResolutionImage-to-Image Translation	CodeCode Available
Image Super-Resolution via Dual-State Recurrent Networks	May 7, 2018	Image Super-ResolutionSuper-Resolution	CodeCode Available
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network	Oct 25, 2021	Image Super-ResolutionSuper-Resolution	CodeCode Available
Attention-based Multi-Reference Learning for Image Super-Resolution	Aug 31, 2021	Image Super-ResolutionSuper-Resolution	CodeCode Available
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning	Nov 3, 2023	Deep LearningImage Reconstruction	CodeCode Available
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature Denoiser	Nov 14, 2022	DeblurringDenoising	CodeCode Available
RealOSR: Latent Unfolding Boosting Diffusion-based Real-world Omnidirectional Image Super-Resolution	Dec 11, 2024	DenoisingImage Super-Resolution	CodeCode Available
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification	Sep 18, 2018	Image Super-Resolutionregression	CodeCode Available
Image Super-Resolution via Deep Recursive Residual Network	Jul 1, 2017	Image Super-ResolutionSuper-Resolution	CodeCode Available
Image Super-Resolution via Attention based Back Projection Networks	Oct 10, 2019	Image Super-ResolutionSuper-Resolution	CodeCode Available
Image Super-Resolution Using Dense Skip Connections	Oct 1, 2017	Computational EfficiencyImage Super-Resolution	CodeCode Available
Cross-domain heterogeneous residual network for single image super-resolution	May 26, 2022	Image ReconstructionImage Super-Resolution	CodeCode Available
Image Super-Resolution Using a Wavelet-based Generative Adversarial Network	Jul 24, 2019	Generative Adversarial NetworkImage Super-Resolution	CodeCode Available
Image Super-Resolution Improved by Edge Information	Oct 6, 2019	Image Super-ResolutionMS-SSIM	CodeCode Available
DPSRGAN: Dilation Patch Super-Resolution Generative Adversarial Networks	May 10, 2021	Image Super-ResolutionSuper-Resolution	CodeCode Available
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising Model	Nov 4, 2023	DenoisingImage Super-Resolution	CodeCode Available
Image Super-Resolution by Neural Texture Transfer	Mar 3, 2019	Image StylizationImage Super-Resolution	CodeCode Available
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution	Jun 15, 2019	Deep LearningImage Super-Resolution	CodeCode Available
Image Super-Resolution as a Defense Against Adversarial Attacks	Jan 7, 2019	Adversarial DefenseImage Enhancement	CodeCode Available
Criteria Comparative Learning for Real-scene Image Super-Resolution	Jul 26, 2022	Contrastive LearningImage Super-Resolution	CodeCode Available
Distilling the Knowledge from Conditional Normalizing Flows	Jun 24, 2021	Image Super-ResolutionSpeech Synthesis	CodeCode Available
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections	Mar 30, 2016	DecoderDenoising	CodeCode Available

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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