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 451–500 of 3874 papers

TitleStatusHype
Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodlesCode1
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and ResultsCode1
Revisiting Implicit Neural Representations in Low-Level VisionCode1
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsCode1
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B ImageryCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
Gated Multi-Resolution Transfer Network for Burst Restoration and EnhancementCode1
Cross-View Hierarchy Network for Stereo Image Super-ResolutionCode1
Local-Global Temporal Difference Learning for Satellite Video Super-ResolutionCode1
Towards Realistic Ultrasound Fetal Brain Imaging SynthesisCode1
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-ResolutionCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-ResolutionCode1
Tunable Convolutions with Parametric Multi-Loss OptimizationCode1
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation TransformerCode1
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-ResolutionCode1
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super ResolutionCode1
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural RepresentationsCode1
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-ResolutionCode1
Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-ResolutionCode1
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-ResolutionCode1
Human Guided Ground-truth Generation for Realistic Image Super-resolutionCode1
SVCNet: Scribble-based Video Colorization Network with Temporal AggregationCode1
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image RestorationCode1
LSwinSR: UAV Imagery Super-Resolution based on Linear Swin TransformerCode1
Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-ResolutionCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Iterative Soft Shrinkage Learning for Efficient Image Super-ResolutionCode1
DeblurSR: Event-Based Motion Deblurring Under the Spiking RepresentationCode1
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data OverfittingCode1
ResDiff: Combining CNN and Diffusion Model for Image Super-ResolutionCode1
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion ModelsCode1
Super-Resolution Information Enhancement For Crowd CountingCode1
Recursive Generalization Transformer for Image Super-ResolutionCode1
Generative AI for Rapid Diffusion MRI with Improved Image Quality, Reliability and GeneralizabilityCode1
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-ResolutionCode1
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-ResolutionCode1
Learning multi-scale local conditional probability models of imagesCode1
BrainBERT: Self-supervised representation learning for intracranial recordingsCode1
Learning to Super-Resolve Blurry Images with EventsCode1
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded ImagesCode1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
Improving Scene Text Image Super-resolution via Dual Prior Modulation NetworkCode1
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and DeblurringCode1
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operatorCode1
Guided Depth Map Super-resolution: A SurveyCode1
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified