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 1401–1450 of 3874 papers

TitleStatusHype
Data-Driven Design for Fourier Ptychographic Microscopy—0
A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution—0
HAAT: Hybrid Attention Aggregation Transformer for Image Super-Resolution—0
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation—0
DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees—0
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU—0
A High-Frequency Focused Network for Lightweight Single Image Super-Resolution—0
A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network—0
D2C-SR: A Divergence to Convergence Approach for Image Super-Resolution—0
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging—0
CycMuNet+: Cycle-Projected Mutual Learning for Spatial-Temporal Video Super-Resolution—0
ATGV-Net: Accurate Depth Super-Resolution—0
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System—0
Harnessing Artificial Intelligence To Reduce Phototoxicity in Live Imaging—0
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data—0
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems—0
CWT-Net: Super-resolution of Histopathology Images Using a Cross-scale Wavelet-based Transformer—0
A Survey of Deep Learning Video Super-Resolution—0
Cutting-Edge Techniques for Depth Map Super-Resolution—0
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold—0
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution—0
Gull: A Generative Multifunctional Audio Codec—0
CUF: Continuous Upsampling Filters—0
Cuboid-Net: A Multi-Branch Convolutional Neural Network for Joint Space-Time Video Super Resolution—0
A GPU-Accelerated Light-field Super-resolution Framework Based on Mixed Noise Model and Weighted Regularization—0
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution—0
CT Super Resolution via Zero Shot Learning—0
AGG: Amortized Generative 3D Gaussians for Single Image to 3D—0
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)—0
CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution—0
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution—0
A Survey on Super Resolution for video Enhancement Using GAN—0
4KAgent: Agentic Any Image to 4K Super-Resolution—0
GUN: Gradual Upsampling Network for Single Image Super-Resolution—0
Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution—0
CT-image Super Resolution Using 3D Convolutional Neural Network—0
A Survey on Hyperspectral Image Restoration: From the View of Low-Rank Tensor Approximation—0
CSwin2SR: Circular Swin2SR for Compressed Image Super-Resolution—0
CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning—0
A Survey on Deep learning based Document Image Enhancement—0
A Generative Model for Hallucinating Diverse Versions of Super Resolution Images—0
Cryo-ZSSR: multiple-image super-resolution based on deep internal learning—0
A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning—0
Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution—0
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision—0
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts—0
Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion Based Transformer Network for Remote Sensing Image Super-Resolution—0
A survey of machine learning-based physics event generation—0
Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking—0
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified