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 151–175 of 3874 papers

TitleStatusHype
Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution—0
Enhanced Semantic Extraction and Guidance for UGC Image Super ResolutionCode1
VibrantLeaves: A principled parametric image generator for training deep restoration modelsCode0
PG-DPIR: An efficient plug-and-play method for high-count Poisson-Gaussian inverse problems—0
The Tenth NTIRE 2025 Efficient Super-Resolution Challenge ReportCode3
ContrastiveGaussian: High-Fidelity 3D Generation with Contrastive Learning and Gaussian SplattingCode0
Event Signal Filtering via Probability Flux Estimation—0
PIDSR: Complementary Polarized Image Demosaicing and Super-ResolutionCode1
MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-ResolutionCode1
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
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary GeometriesCode1
Representing Flow Fields with Divergence-Free Kernels for Reconstruction—0
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion RefinementCode2
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB ImageCode1
GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 GuidanceCode1
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical PriorCode0
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model ApproachCode0
DiT4SR: Taming Diffusion Transformer for Real-World Image Super-Resolution—0
A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images OnlyCode0
A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial ImageryCode0
Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified