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 651–700 of 3874 papers

TitleStatusHype
Conditional Hyper-Network for Blind Super-Resolution with Multiple DegradationsCode1
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution NetworksCode1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
Conditional Simulation Using Diffusion Schrödinger BridgesCode1
Conditional Variational Diffusion ModelsCode1
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional AutoencoderCode1
Deep Audio Waveform PriorCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-ResolutionCode1
DREAM: Diffusion Rectification and Estimation-Adaptive ModelsCode1
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-ResolutionCode1
ICME 2025 Grand Challenge on Video Super-Resolution for Video ConferencingCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
Consistent Direct Time-of-Flight Video Depth Super-ResolutionCode1
ARM: Any-Time Super-Resolution MethodCode1
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
Dual-Stage Approach Toward Hyperspectral Image Super-ResolutionCode1
Learning Detail-Structure Alternative Optimization for Blind Super-ResolutionCode1
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution NetworksCode1
EBSR: Feature Enhanced Burst Super-Resolution With Deformable AlignmentCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image RepresentationCode1
Context-self contrastive pretraining for crop type semantic segmentationCode1
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