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 701750 of 3874 papers

TitleStatusHype
EndoL2H: Deep Super-Resolution for Capsule EndoscopyCode1
A new public Alsat-2B dataset for single-image super-resolutionCode1
Enhanced Deep Residual Networks for Single Image Super-ResolutionCode1
Enhanced Semantic Extraction and Guidance for UGC Image Super ResolutionCode1
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-ResolutionCode1
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV MinimizationCode1
Creating High Resolution Images with a Latent Adversarial GeneratorCode1
Fast Monte Carlo Rendering via Multi-Resolution SamplingCode1
Enhancement of Anime Imaging Enlargement using Modified Super-Resolution CNNCode1
Enhanced Super-Resolution Training via Mimicked Alignment for Real-World ScenesCode1
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-ResolutionCode1
Deep Blind Video Super-resolutionCode1
MDCN: Multi-scale Dense Cross Network for Image Super-ResolutionCode1
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution NetworkCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven ApproachCode1
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature InteractionCode1
MedSRGAN: medical images super-resolution using generative adversarial networksCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
Cross-Resolution Flow Propagation for Foveated Video Super-ResolutionCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
Improving Super-Resolution Performance using Meta-Attention LayersCode1
Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-ResolutionCode1
Cross-sensor super-resolution of irregularly sampled Sentinel-2 time seriesCode1
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolutionCode1
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal LearningCode1
Cross-View Hierarchy Network for Stereo Image Super-ResolutionCode1
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-ResolutionCode1
CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image FusionCode1
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model InferenceCode1
Invertible Image RescalingCode1
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-ResolutionCode1
Exploiting Self-Supervised Constraints in Image Super-ResolutionCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
Action Matching: Learning Stochastic Dynamics from SamplesCode1
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrastCode1
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile DevicesCode1
Asymmetric CNN for image super-resolutionCode1
Face Hallucination via Split-Attention in Split-Attention NetworkCode1
Face Super-Resolution Using Stochastic Differential EquationsCode1
Face Super-Resolution Through Wasserstein GANsCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
Adaptive Convolutional Neural Network for Image Super-resolutionCode1
CVAE-GAN: Fine-Grained Image Generation through Asymmetric TrainingCode1
A heterogeneous group CNN for image super-resolutionCode1
Deep Audio Waveform PriorCode1
A New Dataset and Transformer for Stereoscopic Video Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified