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 351–400 of 3874 papers

TitleStatusHype
Conditional Variational Diffusion ModelsCode1
Spatial-Temporal Contrasting for Fine-Grained Urban Flow InferenceCode1
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolutionCode1
DREAM: Diffusion Rectification and Estimation-Adaptive ModelsCode1
PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-ResolutionCode1
Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-ResolutionCode1
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain ImagingCode1
LFSRDiff: Light Field Image Super-Resolution via Diffusion ModelsCode1
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion ModelsCode1
Image Super-Resolution with Text Prompt DiffusionCode1
Learning to Reconstruct Accelerated MRI Through K-space Cold Diffusion without NoiseCode1
Scene Text Image Super-resolution based on Text-conditional Diffusion ModelsCode1
A Spectral Diffusion Prior for Hyperspectral Image Super-ResolutionCode1
A Lightweight Recurrent Aggregation Network for Satellite Video Super-ResolutionCode1
Optimal Transport-Guided Conditional Score-Based Diffusion ModelsCode1
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic DataCode1
Lightweight super resolution network for point cloud geometry compressionCode1
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and ReconstructionCode1
INCODE: Implicit Neural Conditioning with Prior Knowledge EmbeddingsCode1
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-ResolutionCode1
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder ApproachCode1
Image super-resolution via dynamic networkCode1
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data FusionCode1
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image SegmentationCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Stochastic interpolants with data-dependent couplingsCode1
RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency WavefrontsCode1
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationCode1
Forecasting Tropical Cyclones with Cascaded Diffusion ModelsCode1
Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution HeadCode1
Multi-Depth Branch Network for Efficient Image Super-ResolutionCode1
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion ModelsCode1
Frequency Estimation Using Complex-Valued Shifted Window TransformerCode1
Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-ResolutionCode1
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from FacesCode1
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsCode1
Learning from History: Task-agnostic Model Contrastive Learning for Image RestorationCode1
Towards Real-World Burst Image Super-Resolution: Benchmark and MethodCode1
NUV-DoA: NUV Prior-based Bayesian Sparse Reconstruction with Spatial Filtering for Super-Resolution DoA EstimationCode1
SEAL: A Framework for Systematic Evaluation of Real-World Super-ResolutionCode1
Implicit Neural Image StitchingCode1
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and ReconstructionCode1
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion ModelCode1
End-to-end Alternating Optimization for Real-World Blind Super ResolutionCode1
SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile DeviceCode1
TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-ResolutionCode1
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-ResolutionCode1
A Benchmark for Chinese-English Scene Text Image Super-resolutionCode1
NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing FrameworkCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified