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 3051–3075 of 3874 papers

TitleStatusHype
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution—0
Novel Super-Resolution Method Based on High Order Nonlocal-Means—0
NSD-DIL: Null-Shot Deblurring Using Deep Identity Learning—0
NSSR-DIL: Null-Shot Image Super-Resolution Using Deep Identity Learning—0
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results—0
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results—0
NTIRE 2021 Challenge on Video Super-Resolution—0
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results—0
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results—0
NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution—0
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study—0
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows—0
ODE-Inspired Network Design for Single Image Super-Resolution—0
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples—0
Omnidirectional Video Super-Resolution using Deep Learning—0
Omniscient Video Super-Resolution—0
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model—0
On Adapting Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction—0
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit—0
On-Device Text Image Super Resolution—0
One Model for Two Tasks: Cooperatively Recognizing and Recovering Low-Resolution Scene Text Images by Iterative Mutual Guidance—0
One-Shot Image Restoration—0
One-Shot Model for Mixed-Precision Quantization—0
One Target, Many Views: Multi-User Fusion for Collaborative Uplink ISAC—0
Online 4D Ultrasound-Guided Robotic Tracking Enables 3D Ultrasound Localisation Microscopy with Large Tissue Displacements—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified