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 1801–1850 of 3874 papers

TitleStatusHype
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing—0
Adaptive Segmentation-Based Initialization for Steered Mixture of Experts Image Regression—0
SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention—0
DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme—0
Image Super-Resolution With Deep Variational Autoencoders—0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
Image Super-Resolution Using VDSR-ResNeXt and SRCGAN—0
Image Super-Resolution Using T-Tetromino Pixels—0
Image Superresolution using Scale-Recurrent Dense Network—0
Deep Photo Cropper and Enhancer—0
Image Super-Resolution using Explicit Perceptual Loss—0
IMDeception: Grouped Information Distilling Super-Resolution Network—0
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense—0
Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection—0
Image Super-Resolution Using Attention Based DenseNet with Residual Deconvolution—0
Image Super-resolution Reconstruction Network based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features—0
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features—0
Image super-resolution reconstruction based on attention mechanism and feature fusion—0
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions—0
Image Super-Resolution Based on Sparsity Prior via Smoothed l_0 Norm—0
Deep Networks for Image Super-Resolution with Sparse Prior—0
Deep Networks for Image and Video Super-Resolution—0
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution—0
Deep multi-frame face super-resolution—0
Deep MR Image Super-Resolution Using Structural Priors—0
Image Restoration using Autoencoding Priors—0
Progressive Image Super-Resolution via Neural Differential Equation—0
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors—0
BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles—0
Improving Generative Adversarial Networks for Video Super-Resolution—0
Image Restoration by Deep Projected GSURE—0
Improving Object Detection Quality in Football Through Super-Resolution Techniques—0
Image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection—0
Deep machine learning-assisted multiphoton microscopy to reduce light exposure and expedite imaging—0
Image Reconstruction of Multi Branch Feature Multiplexing Fusion Network with Mixed Multi-layer Attention—0
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)—0
Improving the resolution of microscope by deconvolution after dense scan—0
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis—0
Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution—0
Benefiting from Multitask Learning to Improve Single Image Super-Resolution—0
Incorporating Degradation Estimation in Light Field Spatial Super-Resolution—0
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution—0
Image Processing GNN: Breaking Rigidity in Super-Resolution—0
ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig—0
Inductive Matrix Completion and Root-MUSIC-Based Channel Estimation for Intelligent Reflecting Surface (IRS)-Aided Hybrid MIMO Systems—0
Deeply Matting-based Dual Generative Adversarial Network for Image and Document Label Supervision—0
Imagen Video: High Definition Video Generation with Diffusion Models—0
Image Neural Field Diffusion Models—0
Deeply Aggregated Alternating Minimization for Image Restoration—0
Benchmarking Ultra-High-Definition Image Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified