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 1901–1950 of 3874 papers

TitleStatusHype
Deeply Aggregated Alternating Minimization for Image Restoration—0
Deeply Matting-based Dual Generative Adversarial Network for Image and Document Label Supervision—0
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis—0
Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging—0
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors—0
Deep MR Image Super-Resolution Using Structural Priors—0
Deep multi-frame face super-resolution—0
Deep Networks for Image and Video Super-Resolution—0
Deep Networks for Image Super-Resolution with Sparse Prior—0
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions—0
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features—0
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense—0
Deep Photo Cropper and Enhancer—0
Deep priors for satellite image restoration with accurate uncertainties—0
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey—0
DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement—0
Deep Residual Axial Networks—0
Deep Residual Networks with a Fully Connected Recon-struction Layer for Single Image Super-Resolution—0
Deep Sampling Networks—0
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution—0
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution—0
Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement—0
Deep Spectral Prior—0
DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images—0
Deep super resolution crack network (SrcNet) for improving computer vision–based automated crack detectability in in situ bridges—0
Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations—0
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound—0
Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction—0
Deep Unrolled Network for Video Super-Resolution—0
Deformable-Detection Transformer for Microbubble Localization in Ultrasound Localization Microscopy—0
Deformable Kernel Convolutional Network for Video Extreme Super-Resolution—0
Deform-Mamba Network for MRI Super-Resolution—0
Degenerative Adversarial NeuroImage Nets for Brain Scan Simulations: Application in Ageing and Dementia—0
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution—0
Degrees of freedom for off-the-grid sparse estimation—0
Del-Net: A Single-Stage Network for Mobile Camera ISP—0
DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image—0
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
DEM Super-Resolution with EfficientNetV2—0
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild—0
Dense Dual-Attention Network for Light Field Image Super-Resolution—0
Densely Connected High Order Residual Network for Single Frame Image Super Resolution—0
Dense U-net for super-resolution with shuffle pooling layer—0
Depth Anything with Any Prior—0
Depth Separable architecture for Sentinel-5P Super-Resolution—0
Depth Super Resolution by Rigid Body Self-Similarity in 3D—0
Depth Super-Resolution from Explicit and Implicit High-Frequency Features—0
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis—0
Designing A Composite Dictionary Adaptively From Joint Examples—0
Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation—0
Show:102550
← PrevPage 39 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified