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 1901–1925 of 3874 papers

TitleStatusHype
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-ResolutionCode1
Boosting Video Super Resolution with Patch-Based Temporal Redundancy OptimizationCode1
Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-Resolution—0
Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution—0
Rethinking Alignment in Video Super-Resolution TransformersCode1
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature InteractionCode1
Stochastic Attribute Modeling for Face Super-Resolution—0
Towards Lightweight Super-Resolution with Dual Regression LearningCode2
Single MR Image Super-Resolution using Generative Adversarial NetworkCode1
Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical FidelityCode1
Untrained, physics-informed neural networks for structured illumination microscopy—0
Rethinking Super-Resolution as Text-Guided Details Generation—0
Perception-Oriented Stereo Image Super-Resolution—0
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information FlowCode0
Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing—0
Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-ResolutionCode2
You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution—0
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model—0
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification—0
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New BenchmarkCode0
Cross-receptive Focused Inference Network for Lightweight Image Super-ResolutionCode1
Effectivity of super resolution convolutional neural network for the enhancement of land cover classification from medium resolution satellite images—0
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Learning Local Implicit Fourier Representation for Image WarpingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified