SOTAVerified

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

Showing 151200 of 1589 papers

TitleStatusHype
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: ReportCode1
A New Dataset and Framework for Real-World Blurred Images Super-ResolutionCode1
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image FusionCode1
An efficient CNN for spectral reconstruction from RGB imagesCode1
Dual-Stage Approach Toward Hyperspectral Image Super-ResolutionCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
Efficient scene text image super-resolution with semantic guidanceCode1
Exploring Separable Attention for Multi-Contrast MR Image Super-ResolutionCode1
Does Diffusion Beat GAN in Image Super Resolution?Code1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
Anchor-based Plain Net for Mobile Image Super-ResolutionCode1
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo SimulationCode1
DREAM: Diffusion Rectification and Estimation-Adaptive ModelsCode1
An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural RepresentationCode1
Adaptive Patch Exiting for Scalable Single Image Super-ResolutionCode1
Diffusion-based Blind Text Image Super-ResolutionCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-ResolutionCode1
Detail-Preserving Transformer for Light Field Image Super-ResolutionCode1
DSR: Towards Drone Image Super-ResolutionCode1
Deep Unfolding Network for Image Super-ResolutionCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolutionCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
Deep Learning-based Face Super-Resolution: A SurveyCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
Aligned Structured Sparsity Learning for Efficient Image Super-ResolutionCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
Blockwise Parallel Decoding for Deep Autoregressive ModelsCode1
Blueprint Separable Residual Network for Efficient Image Super-ResolutionCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Designing a Practical Degradation Model for Deep Blind Image Super-ResolutionCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-AttentionCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-ResolutionCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
Boosting Single Image Super-Resolution via Partial Channel ShiftingCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
A New Dataset and Transformer for Stereoscopic Video Super-ResolutionCode1
A new public Alsat-2B dataset for single-image super-resolutionCode1
Bridging Component Learning with Degradation Modelling for Blind Image Super-ResolutionCode1
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale DatasetCode1
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image DenoisingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DRCT-LPSNR29.54Unverified
2HMA†PSNR29.51Unverified
3Hi-IR-LPSNR29.49Unverified
4HAT-LPSNR29.47Unverified
5HAT_FIRPSNR29.44Unverified
6DRCTPSNR29.4Unverified
7HATPSNR29.38Unverified
8SwinFIRPSNR29.36Unverified
9CPAT+PSNR29.36Unverified
10CPATPSNR29.34Unverified
#ModelMetricClaimedVerifiedStatus
1DRCT-LPSNR28.16Unverified
2HMA†PSNR28.13Unverified
3Hi-IR-LPSNR28.13Unverified
4HAT-LPSNR28.09Unverified
5HAT_FIRPSNR28.07Unverified
6CPAT+PSNR28.06Unverified
7DRCTPSNR28.06Unverified
8HATPSNR28.05Unverified
9CPATPSNR28.04Unverified
10SwinFIRPSNR28.03Unverified
#ModelMetricClaimedVerifiedStatus
1Hi-IR-LPSNR28.72Unverified
2DRCT-LPSNR28.7Unverified
3HMA†PSNR28.69Unverified
4HAT-LPSNR28.6Unverified
5HAT_FIRPSNR28.43Unverified
6DRCTPSNR28.4Unverified
7HATPSNR28.37Unverified
8CPAT+PSNR28.33Unverified
9CPATPSNR28.22Unverified
10PFTPSNR28.2Unverified