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 351–400 of 3874 papers

TitleStatusHype
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-ResolutionCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution ModelsCode1
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual ApproximatorsCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal LearningCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
ARM: Any-Time Super-Resolution MethodCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
Deep Burst Super-ResolutionCode1
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-ResolutionCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
DeepBedMap: Using a deep neural network to better resolve the bed topography of AntarcticaCode1
Adaptive Convolutional Neural Network for Image Super-resolutionCode1
A heterogeneous group CNN for image super-resolutionCode1
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolutionCode1
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-ResolutionCode1
Deep Blind Super-Resolution for Satellite VideoCode1
DSR: Towards Drone Image Super-ResolutionCode1
Deep Audio Waveform PriorCode1
A Tree-guided CNN for image super-resolutionCode1
Attaining Real-Time Super-Resolution for Microscopic Images Using GANCode1
Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRICode1
Dual-Camera Super-Resolution with Aligned Attention ModulesCode1
BAM: A Balanced Attention Mechanism for Single Image Super ResolutionCode1
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC AlgorithmCode1
Bilateral Event Mining and Complementary for Event Stream Super-ResolutionCode1
Attention in Attention Network for Image Super-ResolutionCode1
A Benchmark for Chinese-English Scene Text Image Super-resolutionCode1
Attentive Fine-Grained Structured Sparsity for Image RestorationCode1
ECAMP: Entity-centered Context-aware Medical Vision Language Pre-trainingCode1
A Two-Stage Attentive Network for Single Image Super-ResolutionCode1
AdaDM: Enabling Normalization for Image Super-ResolutionCode1
Deep Blind Video Super-resolutionCode1
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
Deep Image PriorCode1
AdaPool: Exponential Adaptive Pooling for Information-Retaining DownsamplingCode1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net DiscriminatorsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified