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 201–250 of 3874 papers

TitleStatusHype
Deep Space-Time Video Upsampling NetworksCode1
Deep Video Super-Resolution using HR Optical Flow EstimationCode1
CNN-generated images are surprisingly easy to spot... for nowCode1
ControlSR: Taming Diffusion Models for Consistent Real-World Image Super ResolutionCode1
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-ResolutionCode1
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face RecognitionCode1
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data CharacteristicCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional FlowsCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-ResolutionCode1
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modellingCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
Catch-A-Waveform: Learning to Generate Audio from a Single Short ExampleCode1
Cascaded Temporal Updating Network for Efficient Video Super-ResolutionCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
2DQuant: Low-bit Post-Training Quantization for Image Super-ResolutionCode1
Accelerating Guided Diffusion Sampling with Splitting Numerical MethodsCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
Component Divide-and-Conquer for Real-World Image Super-ResolutionCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-ResolutionCode1
Accelerating the Super-Resolution Convolutional Neural NetworkCode1
DeFMO: Deblurring and Shape Recovery of Fast Moving ObjectsCode1
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsCode1
Aligned Structured Sparsity Learning for Efficient Image Super-ResolutionCode1
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual NetworkCode1
Adaptive Patch Exiting for Scalable Single Image Super-ResolutionCode1
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image SynthesisCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
A Lightweight Recurrent Aggregation Network for Satellite Video Super-ResolutionCode1
ADASR: An Adversarial Auto-Augmentation Framework for Hyperspectral and Multispectral Data FusionCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image FusionCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
Closed-loop Matters: Dual Regression Networks for Single Image Super-ResolutionCode1
Burst Image Restoration and EnhancementCode1
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-ResolutionCode1
Accelerating Diffusion Models for Inverse Problems through Shortcut SamplingCode1
Collaborative Feedback Discriminative Propagation for Video Super-ResolutionCode1
Combining Attention Module and Pixel Shuffle for License Plate Super-ResolutionCode1
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified