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 3151–3200 of 3874 papers

TitleStatusHype
VHS to HDTV Video Translation using Multi-task Adversarial Learning—0
Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy—0
A New Adaptive Video Super-Resolution Algorithm With Improved Robustness to Innovations—0
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications—0
A neural lens for super-resolution biological imaging—0
Video compression with low complexity CNN-based spatial resolution adaptation—0
An Ensemble Model for Distorted Images in Real Scenarios—0
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network—0
Soft-IntroVAE for Continuous Latent space Image Super-Resolution—0
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution—0
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint—0
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images—0
An End-Cloud Computing Enabled Surveillance Video Transmission System—0
An Empirical Study of Super-resolution on Low-resolution Micro-expression Recognition—0
An Efficient Algorithm for Video Super-Resolution Based On a Sequential Model—0
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements—0
Solving Video Inverse Problems Using Image Diffusion Models—0
Some medical applications of example-based super-resolution—0
A Near-Field Super-Resolution Network for Accelerating Antenna Characterization—0
Sound and Visual Representation Learning with Multiple Pretraining Tasks—0
Anchored Regression Networks Applied to Age Estimation and Super Resolution—0
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks—0
An Attention-Based Approach for Single Image Super Resolution—0
Source Identification: A Self-Supervision Task for Dense Prediction—0
Anatomically Guided Motion Correction for Placental IVIM Parameter Estimation with Accelerated Sampling Method—0
Space-Time Distillation for Video Super-Resolution—0
Space-Time Video Super-resolution with Neural Operator—0
SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography—0
Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction—0
Sparse Based Super Resolution Multilayer Ultrasonic Array Imaging—0
Sparse Coding Approach for Multi-Frame Image Super Resolution—0
Sparse Depth Super Resolution—0
3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution—0
Sparsity-Aware Optimal Transport for Unsupervised Restoration Learning—0
Video-Specific Autoencoders for Exploring, Editing and Transmitting Videos—0
Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints—0
Sparsity-Based Super Resolution for SEM Images—0
Video Face Super-Resolution with Motion-Adaptive Feedback Cell—0
Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Models—0
An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks—0
An approach to image denoising using manifold approximation without clean images—0
Spatial-Angular Representation Learning for High-Fidelity Continuous Super-Resolution in Diffusion MRI—0
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution—0
Spatial Frequency Bias in Convolutional Generative Adversarial Networks—0
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging—0
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach—0
VideoGigaGAN: Towards Detail-rich Video Super-Resolution—0
3D Volumetric Super-Resolution in Radiology Using 3D RRDB-GAN—0
Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution—0
Analytic Optimization-Based Microbubble Tracking in Ultrasound Super-Resolution Microscopy—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified