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 2401–2450 of 3874 papers

TitleStatusHype
Impact of deep learning-based image super-resolution on binary signal detection—0
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual ReconstructionCode1
From General to Specific: Online Updating for Blind Super-Resolution—0
DeepCEL0 for 2D Single Molecule Localization in Fluorescence MicroscopyCode0
Can Super Resolution be used to improve Human Pose Estimation in Low Resolution Scenarios?—0
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and KernelCode1
On Measuring and Controlling the Spectral Bias of the Deep Image PriorCode1
Blind Image Super-Resolution via Contrastive Representation Learning—0
Text Prior Guided Scene Text Image Super-resolutionCode1
A Mixed-Supervision Multilevel GAN Framework for Image Quality Enhancement—0
IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation—0
Multi-Modal Transformer for Accelerated MR ImagingCode1
"Zero-Shot" Point Cloud UpsamplingCode0
Sentinel-2 Sharpening Using a Single Unsupervised Convolutional Neural Network With MTF-Based Degradation ModelCode1
Video Super-Resolution with Long-Term Self-Exemplars—0
Advancing biological super-resolution microscopy through deep learning: a brief review—0
Fast Monte Carlo Rendering via Multi-Resolution SamplingCode1
Distilling the Knowledge from Conditional Normalizing FlowsCode0
Fairness for Image Generation with Uncertain Sensitive AttributesCode1
STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised LearningCode1
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel SynthesisCode1
Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh—0
Manifold Matching via Deep Metric Learning for Generative ModelingCode1
Learning the Non-Differentiable Optimization for Blind Super-Resolution—0
Light Field Super-Resolution With Zero-Shot Learning—0
Scene Text Telescope: Text-Focused Scene Image Super-ResolutionCode0
Image Super-Resolution With Non-Local Sparse AttentionCode1
QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks—0
Space-Time Distillation for Video Super-Resolution—0
Data-Free Knowledge Distillation for Image Super-ResolutionCode0
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks—0
Practical Single-Image Super-Resolution Using Look-Up TableCode1
LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution—0
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning—0
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution EvaluationCode1
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras—0
MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network—0
Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target GenerationCode1
One-to-many Approach for Improving Super-ResolutionCode1
Leveraging Multi scale Backbone with Multilevel supervision for Thermal Image Super Resolution—0
Debiased Subjective Assessment of Real-World Image Enhancement—0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images—0
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving ObjectsCode1
EBSR: Feature Enhanced Burst Super-Resolution With Deformable AlignmentCode1
Perceptually-inspired super-resolution of compressed videos—0
SinIR: Efficient General Image Manipulation with Single Image ReconstructionCode1
Group-based Bi-Directional Recurrent Wavelet Neural Networks for Video Super-Resolution—0
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV MinimizationCode1
Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified