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

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Showing 1226–1250 of 3874 papers

TitleStatusHype
HoloFusion: Towards Photo-realistic 3D Generative Modeling—0
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationCode3
A comprehensive review on Plant Leaf Disease detection using Deep learning—0
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation—0
FFEINR: Flow Feature-Enhanced Implicit Neural Representation for Spatio-temporal Super-Resolution—0
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion ModelCode1
StofNet: Super-resolution Time of Flight NetworkCode0
DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise CleaningCode0
Calorimeter shower superresolutionCode0
Towards Clip-Free Quantized Super-Resolution Networks: How to Tame Representative Images—0
Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited DataCode0
Deformable-Detection Transformer for Microbubble Localization in Ultrasound Localization Microscopy—0
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
SimDA: Simple Diffusion Adapter for Efficient Video Generation—0
SRMAE: Masked Image Modeling for Scale-Invariant Deep Representations—0
SR-GAN for SR-gamma: super resolution of photon calorimeter images at collider experiments—0
End-to-end Alternating Optimization for Real-World Blind Super ResolutionCode1
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile DeviceCode1
S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-ResolutionCode0
CMISR: Circular Medical Image Super-Resolution—0
Dynamic Attention-Guided Diffusion for Image Super-Resolution—0
TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-ResolutionCode1
On Versatile Video Coding at UHD with Machine-Learning-Based Super-Resolution—0
Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment TechnologyCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified