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 1176–1200 of 3874 papers

TitleStatusHype
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