SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 1851–1900 of 3874 papers

TitleStatusHype
Joint Multiple FMCW Chirp Sequence Processing for Velocity Estimation and Ambiguity Resolving—0
Infrared Image Super-Resolution via GAN—0
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution—0
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution—0
DFU: scale-robust diffusion model for zero-shot super-resolution image generationCode0
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation—0
Super-Resolution through StyleGAN Regularized Latent Search: A Realism-Fidelity Trade-off—0
High-resolution Multi-spectral Image Guided DEM Super-resolution using Sinkhorn Regularized Adversarial Network—0
Ultra-Range Gesture Recognition using a Web-Camera in Human-Robot Interaction—0
FLAIR: A Conditional Diffusion Framework with Applications to Face Video RestorationCode0
Resolution- and Stimulus-agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies—0
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy—0
SinSR: Diffusion-Based Image Super-Resolution in a Single StepCode0
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution—0
Generalized super-resolution 4D Flow MRI x2013 using ensemble learning to extend across the cardiovascular systemCode0
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution—0
LATIS: Lambda Abstraction-based Thermal Image Super-resolution—0
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics—0
Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations—0
Combined Channel and Spatial Attention-based Stereo Endoscopic Image Super-Resolution—0
Emu Edit: Precise Image Editing via Recognition and Generation Tasks—0
DSR-Diff: Depth Map Super-Resolution with Diffusion ModelCode0
RBPGAN: Recurrent Back-Projection GAN for Video Super Resolution—0
Texture and Noise Dual Adaptation for Infrared Image Super-ResolutionCode0
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR ImagesCode0
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application—0
The Perception-Robustness Tradeoff in Deterministic Image Restoration—0
Improved Pothole Detection Using YOLOv7 and ESRGANCode0
Plasma Surrogate Modelling using Fourier Neural Operators—0
OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-ResolutionCode0
An End-Cloud Computing Enabled Surveillance Video Transmission System—0
Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data—0
An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific SimulationsCode0
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising ModelCode0
Learning-Based and Quality Preserving Super-Resolution of Noisy Images—0
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation—0
Efficient Model-Based Deep Learning via Network Pruning and Fine-TuningCode0
Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter—0
Exploring Deep Learning Image Super-Resolution for Iris Recognition—0
High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging—0
IterInv: Iterative Inversion for Pixel-Level T2I ModelsCode0
SCAN-MUSIC: An Efficient Super-resolution Algorithm for Single Snapshot Wide-band Line Spectral Estimation—0
Deep Learning Enables Large Depth-of-Field Images for Sub-Diffraction-Limit Scanning Superlens Microscopy—0
Blind Image Super-resolution with Rich Texture-Aware Codebooks—0
BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles—0
Local Statistics for Generative Image Detection—0
Single-pixel imaging based on deep learning—0
Spectral-based detection of chromatin loops in multiplexed super-resolution FISH data—0
Unpaired MRI Super Resolution with Contrastive Learning—0
A Coordinate Descent Approach to Atomic Norm Denoising—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified