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 151175 of 3874 papers

TitleStatusHype
Enhancing Video Super-Resolution via Implicit Resampling-based AlignmentCode2
AnimeSR: Learning Real-World Super-Resolution Models for Animation VideosCode2
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-ResourceCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
AERO: Audio Super Resolution in the Spectral DomainCode2
AEROMamba: An efficient architecture for audio super-resolution using generative adversarial networks and state space modelsCode2
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual LossCode2
Denoising Diffusion Models for Plug-and-Play Image RestorationCode2
Denoising Diffusion Restoration ModelsCode2
Deep Constrained Least Squares for Blind Image Super-ResolutionCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differencesCode2
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-ResolutionCode2
HSIGene: A Foundation Model For Hyperspectral Image GenerationCode2
I^2SB: Image-to-Image Schrödinger BridgeCode2
Image Restoration with Mean-Reverting Stochastic Differential EquationsCode2
Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution NetworkCode2
Binarized Diffusion Model for Image Super-ResolutionCode2
Implicit Diffusion Models for Continuous Super-ResolutionCode2
Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-ResolutionCode2
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion ModelCode2
CoSeR: Bridging Image and Language for Cognitive Super-ResolutionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified