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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1875 of 3874 papers

TitleStatusHype
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction—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
Combined Channel and Spatial Attention-based Stereo Endoscopic Image Super-Resolution—0
Emu Edit: Precise Image Editing via Recognition and Generation Tasks—0
Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations—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
The Perception-Robustness Tradeoff in Deterministic Image Restoration—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified