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 676–700 of 3874 papers

TitleStatusHype
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Deep Adaptive Inference Networks for Single Image Super-ResolutionCode1
Learning Large-Factor EM Image Super-Resolution with Generative PriorsCode1
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function SpaceCode1
ECAMP: Entity-centered Context-aware Medical Vision Language Pre-trainingCode1
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-ResolutionCode1
Image Restoration Through Generalized Ornstein-Uhlenbeck BridgeCode1
Edge and Identity Preserving Network for Face Super-ResolutionCode1
Learning Spatial Attention for Face Super-ResolutionCode1
Edge-enhanced Feature Distillation Network for Efficient Super-ResolutionCode1
DeblurSR: Event-Based Motion Deblurring Under the Spiking RepresentationCode1
EDVR: Video Restoration with Enhanced Deformable Convolutional NetworksCode1
Hyperspectral Image Super Resolution with Real Unaligned RGB GuidanceCode1
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual ReconstructionCode1
Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and ReconstructionCode1
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-ResolutionCode1
Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI ScansCode1
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar ImagingCode1
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model InversionCode1
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-ResolutionCode1
Learning Texture Transformer Network for Image Super-ResolutionCode1
Learning the Degradation Distribution for Blind Image Super-ResolutionCode1
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified