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 601–650 of 3874 papers

TitleStatusHype
Image Super-Resolution with Deep DictionaryCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Boosting Video Super Resolution with Patch-Based Temporal Redundancy OptimizationCode1
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature InteractionCode1
Rethinking Alignment in Video Super-Resolution TransformersCode1
Single MR Image Super-Resolution using Generative Adversarial NetworkCode1
Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical FidelityCode1
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
Cross-receptive Focused Inference Network for Lightweight Image Super-ResolutionCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Learning Local Implicit Fourier Representation for Image WarpingCode1
Variational Deep Image RestorationCode1
Structured Sparsity Learning for Efficient Video Super-ResolutionCode1
Real-World Light Field Image Super-Resolution via Degradation ModulationCode1
Hypernetwork-Based Adaptive Image RestorationCode1
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT ScansCode1
Real-World Image Super-Resolution by Exclusionary Dual-LearningCode1
Recurrent Video Restoration Transformer with Guided Deformable AttentionCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
ShuffleMixer: An Efficient ConvNet for Image Super-ResolutionCode1
Image Super-resolution with An Enhanced Group Convolutional Neural NetworkCode1
SelfReformer: Self-Refined Network with Transformer for Salient Object DetectionCode1
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video RestorationCode1
Residual Local Feature Network for Efficient Super-ResolutionCode1
Blueprint Separable Residual Network for Efficient Image Super-ResolutionCode1
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and ResultsCode1
MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-ResolutionCode1
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-ResolutionCode1
DL4DS -- Deep Learning for empirical DownScalingCode1
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-ResolutionCode1
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive TransformerCode1
Attentive Fine-Grained Structured Sparsity for Image RestorationCode1
Progressive Training of A Two-Stage Framework for Video RestorationCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
A New Dataset and Transformer for Stereoscopic Video Super-ResolutionCode1
Learn from Unpaired Data for Image Restoration: A Variational Bayes ApproachCode1
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and ResultsCode1
Self-Calibrated Efficient Transformer for Lightweight Super-ResolutionCode1
Edge-enhanced Feature Distillation Network for Efficient Super-ResolutionCode1
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-ResolutionCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
Fast and Memory-Efficient Network Towards Efficient Image Super-ResolutionCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference ModelingCode1
Dual-Stage Approach Toward Hyperspectral Image Super-ResolutionCode1
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-ResolutionCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional AutoencoderCode1
Neural Vocoder is All You Need for Speech Super-resolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified