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 751–775 of 3874 papers

TitleStatusHype
Fast Samplers for Inverse Problems in Iterative Refinement ModelsCode0
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models—0
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-ResolutionCode1
Does Diffusion Beat GAN in Image Super Resolution?Code1
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent FlowsCode2
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models—0
BOLD: Boolean Logic Deep Learning—0
Stochastic super-resolution for Gaussian microtextures—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution—0
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image GenerationCode2
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion TeacherCode1
HR-INR: Continuous Space-Time Video Super-Resolution via Event CameraCode0
Perceptual Fairness in Image Restoration—0
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution—0
HR Human: Modeling Human Avatars with Triangular Mesh and High-Resolution Textures from Videos—0
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution—0
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis—0
Infrared Image Super-Resolution via Lightweight Information Split Network—0
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods—0
Frequency-Domain Refinement with Multiscale Diffusion for Super Resolution—0
Bilateral Event Mining and Complementary for Event Stream Super-ResolutionCode1
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation ModelCode2
Perception- and Fidelity-aware Reduced-Reference Super-Resolution Image Quality Assessment—0
Large coordinate kernel attention network for lightweight image super-resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified