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 1076–1100 of 3874 papers

TitleStatusHype
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain ImagingCode1
SeeSR: Towards Semantics-Aware Real-World Image Super-ResolutionCode4
CoSeR: Bridging Image and Language for Cognitive Super-ResolutionCode2
High-resolution Multi-spectral Image Guided DEM Super-resolution using Sinkhorn Regularized Adversarial Network—0
LFSRDiff: Light Field Image Super-Resolution via Diffusion ModelsCode1
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion ModelsCode1
FLAIR: A Conditional Diffusion Framework with Applications to Face Video RestorationCode0
Ultra-Range Gesture Recognition using a Web-Camera in Human-Robot Interaction—0
Resolution- and Stimulus-agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies—0
Image Super-Resolution with Text Prompt DiffusionCode1
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
HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech SynthesisCode3
Swift Parameter-free Attention Network for Efficient Super-ResolutionCode2
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution—0
Generalized super-resolution 4D Flow MRI x2013 using ensemble learning to extend across the cardiovascular systemCode0
LATIS: Lambda Abstraction-based Thermal Image Super-resolution—0
Combined Channel and Spatial Attention-based Stereo Endoscopic 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
Scene Text Image Super-resolution based on Text-conditional Diffusion ModelsCode1
Emu Edit: Precise Image Editing via Recognition and Generation Tasks—0
DSR-Diff: Depth Map Super-Resolution with Diffusion ModelCode0
Learning to Reconstruct Accelerated MRI Through K-space Cold Diffusion without NoiseCode1
Show:102550
← PrevPage 44 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified