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

Showing 451475 of 3874 papers

TitleStatusHype
Efficient scene text image super-resolution with semantic guidanceCode1
Hard-Constrained Deep Learning for Climate DownscalingCode1
Beyond the Spectrum: Detecting Deepfakes via Re-SynthesisCode1
BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-ResolutionCode1
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
Accelerating the Super-Resolution Convolutional Neural NetworkCode1
Global Learnable Attention for Single Image Super-ResolutionCode1
Bilateral Event Mining and Complementary for Event Stream Super-ResolutionCode1
Gradient Variance Loss for Structure-Enhanced Image Super-ResolutionCode1
Deep Learning-based Face Super-Resolution: A SurveyCode1
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-ResolutionCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Guided Depth Super-Resolution by Deep Anisotropic DiffusionCode1
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual NetworkCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-ResolutionCode1
HDTR-Net: A Real-Time High-Definition Teeth Restoration Network for Arbitrary Talking Face Generation MethodsCode1
Deep Image PriorCode1
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder ArchitectureCode1
Hierarchical Neural Architecture Search for Single Image Super-ResolutionCode1
Hierarchical Prior-based Super Resolution for Point Cloud Geometry CompressionCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified