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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–900 of 3874 papers

TitleStatusHype
Memory-Efficient Hierarchical Neural Architecture Search for Image RestorationCode1
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrastCode1
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution NetworksCode1
Neural Radiance Flow for 4D View Synthesis and Video ProcessingCode1
Zoom-to-Inpaint: Image Inpainting with High-Frequency DetailsCode1
KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local AdjustmentCode1
Improving the Fairness of Deep Generative Models without RetrainingCode1
Hierarchical Residual Attention Network for Single Image Super-ResolutionCode1
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual NetworkCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Learning Spatial Attention for Face Super-ResolutionCode1
DeFMO: Deblurring and Shape Recovery of Fast Moving ObjectsCode1
Pre-Trained Image Processing TransformerCode1
Fully Quantized Image Super-Resolution NetworksCode1
Rank-One Network: An Effective Framework for Image RestorationCode1
Robust super-resolution depth imaging via a multi-feature fusion deep networkCode1
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature LearningCode1
PAMS: Quantized Super-Resolution via Parameterized Max ScaleCode1
DynaVSR: Dynamic Adaptive Blind Video Super-ResolutionCode1
Symmetric Parallax Attention for Stereo Image Super-ResolutionCode1
Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfittingCode1
Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image RestorationCode1
Face Hallucination via Split-Attention in Split-Attention NetworkCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 NetworkCode1
Attaining Real-Time Super-Resolution for Microscopic Images Using GANCode1
Unfolding the Alternating Optimization for Blind Super ResolutionCode1
Efficient Image Super-Resolution Using Pixel AttentionCode1
High-throughput molecular imaging via deep learning enabled Raman spectroscopyCode1
Interpretable Detail-Fidelity Attention Network for Single Image Super-ResolutionCode1
Tarsier: Evolving Noise Injection in Super-Resolution GANsCode1
Residual Feature Distillation Network for Lightweight Image Super-ResolutionCode1
Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change ProjectionsCode1
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain ConnectomesCode1
Local-Global Fusion Network for Video Super-ResolutionCode1
NEMO: enabling neural-enhanced video streaming on commodity mobile devicesCode1
Searching for Low-Bit Weights in Quantized Neural NetworksCode1
Parallax Attention for Unsupervised Stereo Correspondence LearningCode1
Enhanced Quadratic Video InterpolationCode1
Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter EstimationCode1
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-ResolutionCode1
Plug-and-Play Image Restoration with Deep Denoiser PriorCode1
MDCN: Multi-scale Dense Cross Network for Image Super-ResolutionCode1
Multi-Attention Based Ultra Lightweight Image Super-ResolutionCode1
Edge and Identity Preserving Network for Face Super-ResolutionCode1
Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic FiltersCode1
Deep Variational Network Toward Blind Image RestorationCode1
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model InferenceCode1
A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-ResolutionCode1
Single Image Super-Resolution via a Holistic Attention NetworkCode1
Show:102550
← PrevPage 18 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified