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 1601–1650 of 3874 papers

TitleStatusHype
NSD-DIL: Null-Shot Deblurring Using Deep Identity Learning—0
M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask—0
ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolutionCode0
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-DesignCode0
Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning—0
Efficient Terrain Stochastic Differential Efficient Terrain Stochastic Differential Equations for Multipurpose Digital Elevation Model Restoration—0
DaBiT: Depth and Blur informed Transformer for Joint Refocusing and Super-ResolutionCode0
ASSR-NeRF: Arbitrary-Scale Super-Resolution on Voxel Grid for High-Quality Radiance Fields Reconstruction—0
Efficient Event Stream Super-Resolution with Recursive Multi-Branch FusionCode0
Super-resolution imaging using super-oscillatory diffractive neural networks—0
V2X Sidelink Positioning in FR1: From Ray-Tracing and Channel Estimation to Bayesian Tracking—0
Burst Image Super-Resolution with Base Frame Selection—0
A Near-Field Super-Resolution Network for Accelerating Antenna Characterization—0
Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution—0
Improving Generative Adversarial Networks for Video Super-Resolution—0
Gridless Parameter Estimation in Partly Calibrated Rectangular Arrays—0
Mamba-based Light Field Super-Resolution with Efficient Subspace Scanning—0
Learning Accurate and Enriched Features for Stereo Image Super-ResolutionCode0
IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-ResolutionCode0
Enhance the Image: Super Resolution using Artificial Intelligence in MRI—0
LFMamba: Light Field Image Super-Resolution with State Space Model—0
Multi-Scale Feature Fusion using Channel Transformers for Guided Thermal Image Super Resolution—0
A Dictionary Based Approach for Removing Out-of-Focus BlurCode0
Geometric Distortion Guided Transformer for Omnidirectional Image Super-Resolution—0
SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models—0
Bayesian Conditioned Diffusion Models for Inverse Problems—0
GaussianSR: 3D Gaussian Super-Resolution with 2D Diffusion Priors—0
DDR: Exploiting Deep Degradation Response as Flexible Image DescriptorCode0
Towards Realistic Data Generation for Real-World Super-Resolution—0
Image Neural Field Diffusion Models—0
Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance—0
Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning—0
M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method—0
Enhancing Weather Predictions: Super-Resolution via Deep Diffusion Models—0
Enhanced Semantic Segmentation Pipeline for WeatherProof Dataset ChallengeCode0
L-MAGIC: Language Model Assisted Generation of Images with CoherenceCode0
Arctic Sea Ice Image Super-Resolution Based on Multi-Scale Convolution and Dual-Gating Mechanism—0
W-Net: A Facial Feature-Guided Face Super-Resolution Network—0
SuperGaussian: Repurposing Video Models for 3D Super Resolution—0
Imitating the Functionality of Image-to-Image Models Using a Single Example—0
Hybrid attention structure preserving network for reconstruction of under-sampled OCT images—0
Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank—0
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems—0
SpikeMM: Flexi-Magnification of High-Speed Micro-Motions—0
Climate Variable Downscaling with Conditional Normalizing Flows—0
Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?—0
Reconstructing Interpretable Features in Computational Super-Resolution microscopy via Regularized Latent Search—0
Single image super-resolution based on trainable feature matching attention networkCode0
Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representationsCode0
Towards a Sampling Theory for Implicit Neural Representations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified