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 1151–1200 of 3874 papers

TitleStatusHype
Decoupling Multi-Contrast Super-Resolution: Pairing Unpaired Synthesis with Implicit Representations—0
Joint Super-Resolution and Segmentation for 1-m Impervious Surface Area Mapping in China's Yangtze River Economic Belt—0
EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution—0
StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation—0
USF Spectral Estimation: Prevalence of Gaussian Cramér-Rao Bounds Despite Modulo Folding—0
Deep Learning Framework for Infrastructure Maintenance: Crack Detection and High-Resolution Imaging of Infrastructure Surfaces—0
A Fusion-Guided Inception Network for Hyperspectral Image Super-ResolutionCode0
Optimization of Module Transferability in Single Image Super-Resolution: Universality Assessment and Cycle Residual Blocks—0
MSFNet-CPD: Multi-Scale Cross-Modal Fusion Network for Crop Pest DetectionCode0
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge—0
Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordance—0
One Target, Many Views: Multi-User Fusion for Collaborative Uplink ISAC—0
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution—0
Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution—0
Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional NetworkCode0
SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution—0
FourierSpecNet: Neural Collision Operator Approximation Inspired by the Fourier Spectral Method for Solving the Boltzmann Equation—0
Super-resolution Wideband Beam Training for Near-field Communications with Ultra-low Overhead—0
Global Stress Generation and Spatiotemporal Super-Resolution Physics-Informed Operator under Dynamic Loading for Two-Phase Random Materials—0
Predicting Stress in Two-phase Random Materials and Super-Resolution Method for Stress Images by Embedding Physical Information—0
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representationsCode0
CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors—0
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution—0
RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution—0
Regularizing Differentiable Architecture Search with Smooth Activation—0
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study—0
DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution—0
STARS: Sparse Learning Correlation Filter with Spatio-temporal Regularization and Super-resolution Reconstruction for Thermal Infrared Target Tracking—0
Equilibrium Conserving Neural Operators for Super-Resolution Learning—0
AnyTSR: Any-Scale Thermal Super-Resolution for UAVCode0
Integrated Super-resolution Sensing and Symbiotic Communication with 3D Sparse MIMO for Low-Altitude UAV Swarm—0
ARAP-GS: Drag-driven As-Rigid-As-Possible 3D Gaussian Splatting Editing with Diffusion Prior—0
Deep Generative Models for Bayesian Inference on High-Rate Sensor Data: Applications in Automotive Radar and Medical Imaging—0
Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain—0
Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution—0
PG-DPIR: An efficient plug-and-play method for high-count Poisson-Gaussian inverse problems—0
VibrantLeaves: A principled parametric image generator for training deep restoration modelsCode0
Event Signal Filtering via Probability Flux Estimation—0
ContrastiveGaussian: High-Fidelity 3D Generation with Contrastive Learning and Gaussian SplattingCode0
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes—0
GAMBAS: Generalised-Hilbert Mamba for Super-resolution of Paediatric Ultra-Low-Field MRICode0
DSSR-Net for Super-Resolution Radar Range Profiles—0
MIMRS: A Survey on Masked Image Modeling in Remote Sensing—0
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution—0
Representing Flow Fields with Divergence-Free Kernels for Reconstruction—0
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical PriorCode0
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model ApproachCode0
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images OnlyCode0
DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution—0
A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial ImageryCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified