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

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Showing 551–600 of 1589 papers

TitleStatusHype
Implicit Diffusion Models for Continuous Super-ResolutionCode2
Learning Generative Structure Prior for Blind Text Image Super-resolutionCode2
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-ResolutionCode1
PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-ResolutionCode0
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging—0
Human Guided Ground-truth Generation for Realistic Image Super-resolutionCode1
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings—0
A High-Frequency Focused Network for Lightweight Single Image Super-Resolution—0
Parameter-Free Channel Attention for Image Classification and Super-Resolution—0
Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images—0
SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-ResolutionCode2
Iterative Soft Shrinkage Learning for Efficient Image Super-ResolutionCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
ResDiff: Combining CNN and Diffusion Model for Image Super-ResolutionCode1
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach—0
Raising The Limit Of Image Rescaling Using Auxiliary Encoding—0
CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution—0
Recursive Generalization Transformer for Image Super-ResolutionCode1
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-ResolutionCode1
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-ResolutionCode1
QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms—0
Combination of Single and Multi-frame Image Super-resolution: An Analytical PerspectiveCode0
Single-photon Image Super-resolution via Self-supervised Learning—0
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution—0
Efficient and Explicit Modelling of Image Hierarchies for Image RestorationCode2
GRAN: Ghost Residual Attention Network for Single Image Super Resolution—0
TextIR: A Simple Framework for Text-based Editable Image Restoration—0
Spatially-Adaptive Feature Modulation for Efficient Image Super-ResolutionCode2
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
DISCO: Distributed Inference with Sparse Communications—0
On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution—0
Likelihood Annealing: Fast Calibrated Uncertainty for Regression—0
Improving Scene Text Image Super-resolution via Dual Prior Modulation NetworkCode1
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales—0
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-ResolutionCode1
TcGAN: Semantic-Aware and Structure-Preserved GANs with Individual Vision Transformer for Fast Arbitrary One-Shot Image Generation—0
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function SpaceCode1
Super-Resolution of BVOC Maps by Adapting Deep Learning Methods—0
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild—0
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution—0
Hyperspectral Image Super Resolution with Real Unaligned RGB GuidanceCode1
Hypernetworks build Implicit Neural Representations of SoundsCode1
OSRT: Omnidirectional Image Super-Resolution with Distortion-aware TransformerCode1
A statistically constrained internal method for single image super-resolution—0
Image Restoration with Mean-Reverting Stochastic Differential EquationsCode2
Trainable Loss Weights in Super-ResolutionCode0
Image Super-Resolution using Efficient Striped Window TransformerCode2
Is Autoencoder Truly Applicable for 3D CT Super-Resolution?Code0
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
CSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution—0
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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