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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 1589 papers

TitleStatusHype
HiTSR: A Hierarchical Transformer for Reference-based Super-ResolutionCode0
Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment—0
ResSR: A Computationally Efficient Residual Approach to Super-Resolving Multispectral ImagesCode0
3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model—0
MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMsCode1
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving TransformerCode0
Implicit Grid Convolution for Multi-Scale Image Super-ResolutionCode1
Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-ResolutionCode0
QMambaBSR: Burst Image Super-Resolution with Query State Space Model—0
One Step Diffusion-based Super-Resolution with Time-Aware DistillationCode1
GRFormer: Grouped Residual Self-Attention for Lightweight Single Image Super-ResolutionCode1
DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution—0
SSL: A Self-similarity Loss for Improving Generative Image Super-resolutionCode2
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution—0
Kalman-Inspired Feature Propagation for Video Face Super-Resolution—0
Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation—0
Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution—0
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution—0
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
Efficient Multi-disparity Transformer for Light Field Image Super-resolution—0
A New Dataset and Framework for Real-World Blurred Images Super-ResolutionCode1
RealViformer: Investigating Attention for Real-World Video Super-ResolutionCode2
Large Kernel Distillation Network for Efficient Single Image Super-ResolutionCode1
Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network—0
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt—0
Backdoor Attacks against Image-to-Image Networks—0
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKVCode2
Task-driven single-image super-resolution reconstruction of document scans—0
Region Attention Transformer for Medical Image RestorationCode1
Spatially-Variant Degradation Model for Dataset-free Super-resolutionCode0
Pairwise Distance Distillation for Unsupervised Real-World Image Super-ResolutionCode1
UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolution—0
Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution—0
Deform-Mamba Network for MRI Super-Resolution—0
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution—0
NSD-DIL: Null-Shot Deblurring Using Deep Identity Learning—0
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-ResourceCode2
ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolutionCode0
Preserving Full Degradation Details for Blind Image Super-ResolutionCode1
ASSR-NeRF: Arbitrary-Scale Super-Resolution on Voxel Grid for High-Quality Radiance Fields Reconstruction—0
Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-ResolutionCode1
Burst Image Super-Resolution with Base Frame Selection—0
Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution—0
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionCode1
Improving Generative Adversarial Networks for Video Super-Resolution—0
Learning Accurate and Enriched Features for Stereo Image Super-ResolutionCode0
IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-ResolutionCode0
Enhance the Image: Super Resolution using Artificial Intelligence in MRI—0
Show:102550
← PrevPage 5 of 32Next →
All datasetsSet14 - 4x upscalingBSD100 - 4x upscalingUrban100 - 4x upscalingManga109 - 4x upscalingSet5 - 2x upscalingSet14 - 2x upscalingSet5 - 3x upscalingBSD100 - 2x upscalingUrban100 - 2x upscalingSet14 - 3x upscalingUrban100 - 3x upscalingBSD100 - 3x upscaling

Benchmark Results

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