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 1901–1950 of 3874 papers

TitleStatusHype
Image Super-Resolution with Deep DictionaryCode1
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature InteractionCode1
Boosting Video Super Resolution with Patch-Based Temporal Redundancy OptimizationCode1
Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-Resolution—0
Rethinking Alignment in Video Super-Resolution TransformersCode1
Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution—0
Towards Lightweight Super-Resolution with Dual Regression LearningCode2
Single MR Image Super-Resolution using Generative Adversarial NetworkCode1
Stochastic Attribute Modeling for Face Super-Resolution—0
Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical FidelityCode1
Untrained, physics-informed neural networks for structured illumination microscopy—0
Rethinking Super-Resolution as Text-Guided Details Generation—0
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information FlowCode0
Perception-Oriented Stereo Image Super-Resolution—0
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing—0
Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-ResolutionCode2
You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution—0
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model—0
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification—0
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New BenchmarkCode0
Cross-receptive Focused Inference Network for Lightweight Image Super-ResolutionCode1
Effectivity of super resolution convolutional neural network for the enhancement of land cover classification from medium resolution satellite images—0
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Learning Local Implicit Fourier Representation for Image WarpingCode1
Memory Efficient Patch-based Training for INR-based GANs—0
PS^2F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing—0
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution—0
Variational Deep Image RestorationCode1
Continuous Sign Language Recognition via Temporal Super-Resolution Network—0
On the modern deep learning approaches for precipitation downscaling—0
Exploring the solution space of linear inverse problems with GAN latent geometry—0
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics—0
Theoretical Perspectives on Deep Learning Methods in Inverse Problems—0
GAN-based Super-Resolution and Segmentation of Retinal Layers in Optical coherence tomography Scans—0
Bilateral Network with Channel Splitting Network and Transformer for Thermal Image Super-Resolution—0
A Fast Text-Driven Approach for Generating Artistic Content—0
Localisation And Imaging Methods for Moving Target Ghost Imaging Radar Based On Correlation Intensity Weighting—0
Multi-Modality Image Super-Resolution using Generative Adversarial NetworksCode0
Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness—0
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling RatesCode2
Real-World Single Image Super-Resolution Under Rainy Condition—0
GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds—0
Super-resolution image display using diffractive decoders—0
Subsurface Depths Structure Maps Reconstruction with Generative Adversarial Networks—0
Structured Sparsity Learning for Efficient Video Super-ResolutionCode1
AnimeSR: Learning Real-World Super-Resolution Models for Animation VideosCode2
Hypernetwork-Based Adaptive Image RestorationCode1
Real-World Light Field Image Super-Resolution via Degradation ModulationCode1
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT ScansCode1
Show:102550
← PrevPage 39 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified