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
2DQuant: Low-bit Post-Training Quantization for Image Super-ResolutionCode1
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learningCode1
Beyond the Spectrum: Detecting Deepfakes via Re-SynthesisCode1
BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
BF-STVSR: B-Splines and Fourier---Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain ConnectomesCode1
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-ResolutionCode1
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modellingCode1
Guided Super-Resolution as Pixel-to-Pixel TransformationCode1
Bilateral Event Mining and Complementary for Event Stream Super-ResolutionCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-ResolutionCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher ResolutionCode1
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual NetworkCode1
Hierarchical Neural Architecture Search for Single Image Super-ResolutionCode1
Hierarchical Residual Attention Network for Single Image Super-ResolutionCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder ArchitectureCode1
High-Resolution Image Editing via Multi-Stage Blended DiffusionCode1
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-ResolutionCode1
Deep Learning-based Face Super-Resolution: A SurveyCode1
BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-ResolutionCode1
How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale ApproachCode1
HQ-50K: A Large-scale, High-quality Dataset for Image RestorationCode1
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-AttentionCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data FusionCode1
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth ImagesCode1
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face RecognitionCode1
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-ResolutionCode1
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image FusionCode1
Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter EstimationCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
HyperTransformer: A Textural and Spectral Feature Fusion Transformer for PansharpeningCode1
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-ResolutionCode1
Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo SimulationCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
Image Restoration Through Generalized Ornstein-Uhlenbeck BridgeCode1
Manifold Matching via Deep Metric Learning for Generative ModelingCode1
Blueprint Separable Residual Network for Efficient Image Super-ResolutionCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
Image super-resolution via dynamic networkCode1
Image Super-resolution with An Enhanced Group Convolutional Neural NetworkCode1
Deep Blind Super-Resolution for Satellite VideoCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified