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

Showing 14011450 of 3874 papers

TitleStatusHype
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super ResolutionCode0
Ensemble Super-Resolution with A Reference DatasetCode0
Learning Likelihoods with Conditional Normalizing FlowsCode0
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical PriorCode0
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution ForestsCode0
Component Attention Guided Face Super-Resolution Network: CAGFaceCode0
Light Field Super-resolution via Attention-Guided Fusion of Hybrid LensesCode0
Enhancing Super-Resolution Networks through Realistic Thick-Slice CT SimulationCode0
3DSRnet: Video Super-resolution using 3D Convolutional Neural NetworksCode0
COMISR: Compression-Informed Video Super-ResolutionCode0
Learning Descriptor Networks for 3D Shape Synthesis and AnalysisCode0
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model ApproachCode0
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural NetworkCode0
Learning to Super Resolve Intensity Images from EventsCode0
Combining Contrastive and Supervised Learning for Video Super-Resolution DetectionCode0
Learning a Single Convolutional Super-Resolution Network for Multiple DegradationsCode0
Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-ResolutionCode0
Learning a No-Reference Quality Metric for Single-Image Super-ResolutionCode0
Learning Accurate and Enriched Features for Stereo Image Super-ResolutionCode0
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution ImagingCode0
Combination of Single and Multi-frame Image Super-resolution: An Analytical PerspectiveCode0
Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion ModelsCode0
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-ResolutionCode0
EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisCode0
Cross-domain heterogeneous residual network for single image super-resolutionCode0
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance RegularizationCode0
LatticeNet: Towards Lightweight Image Super-resolution with Lattice BlockCode0
Enhanced Semantic Segmentation Pipeline for WeatherProof Dataset ChallengeCode0
Laplacian Pyramid-like AutoencoderCode0
LAR-SR: A Local Autoregressive Model for Image Super-ResolutionCode0
Enhanced Control for Diffusion Bridge in Image RestorationCode0
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing ImagesCode0
Enforcing Physical Constraints in Neural Neural Networks through Differentiable PDE LayerCode0
End-to-End Optimization of Metasurfaces for Imaging with Compressed SensingCode0
Kernel-aware Burst Blind Super-ResolutionCode0
Kernel Modeling Super-Resolution on Real Low-Resolution ImagesCode0
LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled VariablesCode0
Joint Super-Resolution and Alignment of Tiny FacesCode0
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New BenchmarkCode0
Joint Reconstruction and Spatial Super-Resolution of Hyper-Spectral CTIS Images via Multi-Scale RefinementCode0
Joint Maximum Purity Forest with Application to Image Super-ResolutionCode0
IterInv: Iterative Inversion for Pixel-Level T2I ModelsCode0
ELSR: Extreme Low-Power Super Resolution Network For Mobile DevicesCode0
Joint High Dynamic Range Imaging and Super-Resolution from a Single ImageCode0
Adversarial Feedback LoopCode0
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR VideoCode0
Multi Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face RecognitionCode0
AnyTSR: Any-Scale Thermal Super-Resolution for UAVCode0
Is Autoencoder Truly Applicable for 3D CT Super-Resolution?Code0
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified