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 3051–3100 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
Online Streaming Video Super-Resolution with Convolutional Look-Up Table—0
Online Video Super-Resolution with Convolutional Kernel Bypass Graft—0
On the modern deep learning approaches for precipitation downscaling—0
On the Robustness of Normalizing Flows for Inverse Problems in Imaging—0
On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution—0
On the Use of Singular Value Decomposition as a Clutter Filter for Ultrasound Flow Imaging—0
On training deep networks for satellite image super-resolution—0
On Versatile Video Coding at UHD with Machine-Learning-Based Super-Resolution—0
OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution—0
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution—0
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation—0
Optical Flow for Video Super-Resolution: A Survey—0
Optical Flow Reusing for High-Efficiency Space-Time Video Super Resolution—0
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network—0
Optimal Physical Preprocessing for Example-Based Super-Resolution—0
Optimal Surface Segmentation with Convex Priors in Irregularly Sampled Space—0
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems—0
Optimal Transport for Super Resolution Applied to Astronomy Imaging—0
Optimization of Module Transferability in Single Image Super-Resolution: Universality Assessment and Cycle Residual Blocks—0
Optimizing Drug Delivery in Smart Pharmacies: A Novel Framework of Multi-Stage Grasping Network Combined with Adaptive Robotics Mechanism—0
Optimizing Fingerprint-Spectrum-Based Synchronization in Integrated Sensing and Communications—0
Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization—0
Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integration—0
ORL-LDM: Offline Reinforcement Learning Guided Latent Diffusion Model Super-Resolution Reconstruction—0
Orthogonally Regularized Deep Networks For Image Super-resolution—0
Show:102550
← PrevPage 62 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified