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 801–825 of 3874 papers

TitleStatusHype
Generative Diffusion-based Downscaling for ClimateCode2
Federated Learning for Blind Image Super-Resolution—0
One-Shot Image Restoration—0
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion ModelCode1
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimationCode0
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge SurveyCode3
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
Latent Modulated Function for Computational Optimal Continuous Image RepresentationCode2
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey—0
A Survey on Visual MambaCode4
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-ResolutionCode2
SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolutionCode2
SEGSRNet for Stereo-Endoscopic Image Super-Resolution and Surgical Instrument Segmentation—0
Single-sample image-fusion upsampling of fluorescence lifetime images—0
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention BlocksCode0
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics—0
VideoGigaGAN: Towards Detail-rich Video Super-Resolution—0
Partial Large Kernel CNNs for Efficient Super-ResolutionCode2
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-ResolutionCode2
Little Pilot is Needed for Channel Estimation with Integrated Super-Resolution Sensing and Communication—0
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model—0
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge ReportCode3
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolutionCode1
SRGS: Super-Resolution 3D Gaussian SplattingCode2
NTIRE 2024 Challenge on Image Super-Resolution (4): Methods and ResultsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified