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 1551–1600 of 3874 papers

TitleStatusHype
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution—0
FlashSR: One-step Versatile Audio Super-resolution via Diffusion Distillation—0
Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models—0
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics—0
A Generalized Tensor Formulation for Hyperspectral Image Super-Resolution Under General Spatial Blurring—0
Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution—0
Geometry Enhancements from Visual Content: Going Beyond Ground Truth—0
Image Deconvolution with Deep Image and Kernel Priors—0
Image Denoising and Super-Resolution using Residual Learning of Deep Convolutional Network—0
Cross-Guided Optimization of Radiance Fields With Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis—0
GIMP-ML: Python Plugins for using Computer Vision Models in GIMP—0
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations—0
First order algorithms in variational image processing—0
Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank—0
Astronomical Image Colorization and upscaling with Generative Adversarial Networks—0
FireSRnet: Geoscience-Driven Super-Resolution of Future Fire Risk from Climate Change—0
FIPER: Generalizable Factorized Features for Robust Low-Level Vision Models—0
Cross-Domain Lossy Compression as Optimal Transport with an Entropy Bottleneck—0
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution—0
Fingerprints of Super Resolution Networks—0
Fingerprinting Deep Image Restoration Models—0
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping—0
Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution—0
Global Stress Generation and Spatiotemporal Super-Resolution Physics-Informed Operator under Dynamic Loading for Two-Phase Random Materials—0
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving—0
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model—0
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery—0
G-PCC Post-Processing Using Fractional Super-Resolution—0
Gradient-Free Adversarial Purification with Diffusion Models—0
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution—0
A Coordinate Descent Approach to Atomic Norm Denoising—0
2D Neural Fields with Learned Discontinuities—0
Image Enhancement by Recurrently-trained Super-resolution Network—0
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain—0
CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network—0
Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation—0
Fine-Grained Neural Architecture Search—0
Gridless Tomographic SAR Imaging Based on Accelerated Atomic Norm Minimization with Efficiency—0
Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization—0
Group-based Bi-Directional Recurrent Wavelet Neural Networks for Video Super-Resolution—0
A statistically constrained internal method for single image super-resolution—0
A Convex Approach for Image Hallucination—0
Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior—0
Creating Realistic Anterior Segment Optical Coherence Tomography Images using Generative Adversarial Networks—0
A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers—0
Fidelity-Naturalness Evaluation of Single Image Super Resolution—0
Guided Frequency Loss for Image Restoration—0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—0
FFTLasso: Large-Scale LASSO in the Fourier Domain—0
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified