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 1151–1200 of 3874 papers

TitleStatusHype
FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion—0
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data FusionCode1
Stochastic Super-resolution of Cosmological Simulations with Denoising Diffusion Models—0
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image SegmentationCode1
Super Denoise Net: Speech Super Resolution with Noise Cancellation in Low Sampling Rate Noisy Environments—0
Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscaling—0
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator—0
HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation—0
Stochastic interpolants with data-dependent couplingsCode1
Deep learning-based image super-resolution of a novel end-expandable optical fiber probe for application in esophageal cancer diagnostics—0
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution—0
A Restoration Network as an Implicit Prior—0
Forecasting Tropical Cyclones with Cascaded Diffusion ModelsCode1
RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency WavefrontsCode1
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems—0
A New Real-World Video Dataset for the Comparison of Defogging Algorithms—0
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationCode1
EXTRACTER: Efficient Texture Matching with Attention and Gradient Enhancing for Large Scale Image Super ResolutionCode0
Prompt-tuning latent diffusion models for inverse problems—0
Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes—0
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution—0
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image SynthesisCode0
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis—0
Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN—0
Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution HeadCode1
Multi-Depth Branch Network for Efficient Image Super-ResolutionCode1
Effect of structure-based training on 3D localization precision and quality—0
Neural Operators for Accelerating Scientific Simulations and Design—0
Guided Frequency Loss for Image Restoration—0
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution SegmentationCode0
Uncertainty Quantification via Neural Posterior Principal Components—0
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion ModelsCode1
An Ensemble Model for Distorted Images in Real Scenarios—0
DONNAv2 -- Lightweight Neural Architecture Search for Vision tasks—0
A Lightweight Recurrent Grouping Attention Network for Video Super-ResolutionCode0
Data Upcycling Knowledge Distillation for Image Super-ResolutionCode0
Adaptation of the super resolution SOTA for Art Restoration in camera capture imagesCode0
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data—0
Cine cardiac MRI reconstruction using a convolutional recurrent network with refinementCode0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
License Plate Super-Resolution Using Diffusion Models—0
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation—0
Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition—0
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approachCode0
Universal Photorealistic Style Transfer: A Lightweight and Adaptive Approach—0
Frequency Estimation Using Complex-Valued Shifted Window TransformerCode1
Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-ResolutionCode1
Emerging Approaches for THz Array Imaging: A Tutorial Review and Software Tool—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified