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 1251–1275 of 3874 papers

TitleStatusHype
From Image- to Pixel-level: Label-efficient Hyperspectral Image Reconstruction—0
Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling—0
GenDR: Lightning Generative Detail Restorator—0
Global graph features unveiled by unsupervised geometric deep learning—0
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution—0
DuCos: Duality Constrained Depth Super-Resolution via Foundation Model—0
Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion Alignment—0
Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model—0
Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution—0
Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution—0
Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications—0
MR-EIT: Multi-Resolution Reconstruction for Electrical Impedance Tomography via Data-Driven and Unsupervised Dual-Mode Neural Networks—0
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
BadRefSR: Backdoor Attacks Against Reference-based Image Super ResolutionCode0
MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling—0
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization—0
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems—0
MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery—0
Super-Resolution for Interferometric Imaging: Model Comparisons and Performance Analysis—0
MambaLiteSR: Image Super-Resolution with Low-Rank Mamba using Knowledge Distillation—0
End-to-end pipeline for simultaneous temperature estimation and super resolution of low-cost uncooled infrared camera frames for precision agriculture applications—0
VoLUT: Efficient Volumetric streaming enhanced by LUT-based super-resolution—0
Accelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study—0
Super Resolution image reconstructs via total variation-based image deconvolution: a majorization-minimization approach—0
Do Deepfake Detectors Work in Reality?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified