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

Showing 701725 of 3874 papers

TitleStatusHype
Image Super-Resolution via Iterative RefinementCode1
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder ApproachCode1
Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRICode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-ResolutionCode1
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-ResolutionCode1
Creating High Resolution Images with a Latent Adversarial GeneratorCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
Implicit Neural Image StitchingCode1
Implicit Transformer Network for Screen Content Image Continuous Super-ResolutionCode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
INCODE: Implicit Neural Conditioning with Prior Knowledge EmbeddingsCode1
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-ResolutionCode1
Infrared Image Super-Resolution: Systematic Review, and Future TrendsCode1
Infrared Image Super-Resolution via Transfer Learning and PSRGANCode1
Intermediate Layer Optimization for Inverse Problems using Deep Generative ModelsCode1
Interpretable Detail-Fidelity Attention Network for Single Image Super-ResolutionCode1
Cross-receptive Focused Inference Network for Lightweight Image Super-ResolutionCode1
Cross-Resolution Flow Propagation for Foveated Video Super-ResolutionCode1
A new public Alsat-2B dataset for single-image super-resolutionCode1
Cross-Scale Internal Graph Neural Network for Image Super-ResolutionCode1
Diffusion Models Beat GANs on Image ClassificationCode1
Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-ResolutionCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified