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 401–450 of 3874 papers

TitleStatusHype
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV MinimizationCode1
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelCode1
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modellingCode1
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-ResolutionCode1
AutoGAN-Distiller: Searching to Compress Generative Adversarial NetworksCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion ModelsCode1
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstructionCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-AttentionCode1
EvEnhancer: Empowering Effectiveness, Efficiency and Generalizability for Continuous Space-Time Video Super-Resolution with EventsCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Exploiting Raw Images for Real-Scene Super-ResolutionCode1
Exploiting Self-Supervised Constraints in Image Super-ResolutionCode1
Exploring Separable Attention for Multi-Contrast MR Image Super-ResolutionCode1
Exploring the Low-Pass Filtering Behavior in Image Super-ResolutionCode1
BAM: A Balanced Attention Mechanism for Single Image Super ResolutionCode1
Face Hallucination via Split-Attention in Split-Attention NetworkCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net DiscriminatorsCode1
FALL-E: A Foley Sound Synthesis Model and StrategiesCode1
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
Deep Image PriorCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
Fast Monte Carlo Rendering via Multi-Resolution SamplingCode1
Fast Nearest Convolution for Real-Time Efficient Image Super-ResolutionCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder ArchitectureCode1
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-ResolutionCode1
AeroRIT: A New Scene for Hyperspectral Image AnalysisCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
Deep Learning-based Face Super-Resolution: A SurveyCode1
Flow-based Kernel Prior with Application to Blind Super-ResolutionCode1
A Lightweight Recurrent Aggregation Network for Satellite Video Super-ResolutionCode1
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-ResolutionCode1
DeepBedMap: Using a deep neural network to better resolve the bed topography of AntarcticaCode1
Best-Buddy GANs for Highly Detailed Image Super-ResolutionCode1
Aligned Structured Sparsity Learning for Efficient Image Super-ResolutionCode1
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-ResolutionCode1
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsCode1
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image DenoisingCode1
Accelerating Guided Diffusion Sampling with Splitting Numerical MethodsCode1
Deep Blind Super-Resolution for Satellite VideoCode1
Deep Audio Waveform PriorCode1
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance PursuitCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified