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 2701–2750 of 3874 papers

TitleStatusHype
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution—0
Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing—0
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI—0
Precipitation Downscaling with Spatiotemporal Video Diffusion—0
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties—0
An Optimal Transport Perspective on Unpaired Image Super-Resolution—0
Process of image super-resolution—0
ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles—0
Unpaired MRI Super Resolution with Contrastive Learning—0
Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization—0
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN—0
Progressive Generative Adversarial Networks for Medical Image Super resolution—0
Progressively Unfreezing Perceptual GAN—0
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution—0
Unstructured Road Vanishing Point Detection Using the Convolutional Neural Network and Heatmap Regression—0
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches—0
Accurate super-resolution low-field brain MRI—0
Prompt-tuning latent diffusion models for inverse problems—0
Propagation Modeling for Physically Large Arrays: Measurements and Multipath Component Visibility—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks—0
Provable Compressed Sensing with Generative Priors via Langevin Dynamics—0
Unsupervised Alternating Optimization for Blind Hyperspectral Imagery Super-resolution—0
PINNs for Medical Image Analysis: A Survey—0
BLADE: Filter Learning for General Purpose Computational Photography—0
Proximal Splitting Networks for Image Restoration—0
PS^2F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing—0
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data—0
PSyCo: Manifold Span Reduction for Super Resolution—0
PTSR: Patch Translator for Image Super-Resolution—0
Bit-depth color recovery via off-the-shelf super-resolution models—0
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors—0
2D Neural Fields with Learned Discontinuities—0
Pyramidal Denoising Diffusion Probabilistic Models—0
Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution—0
Pyramidal Edge-maps and Attention based Guided Thermal Super-resolution—0
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds—0
Pyramid Dual Domain Injection Network for Pan-sharpening—0
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision—0
Binary Diffusion Probabilistic Model—0
Binarized Neural Network for Single Image Super Resolution—0
QMambaBSR: Burst Image Super-Resolution with Query State Space Model—0
Unsupervised Degradation Learning for Single Image Super-Resolution—0
QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks—0
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping—0
Quality analysis of DCGAN-generated mammography lesions—0
Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising—0
Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views—0
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities—0
Accurate Spectral Super-resolution from Single RGB Image Using Multi-scale CNN—0
Show:102550
← PrevPage 55 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified