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 101–125 of 3874 papers

TitleStatusHype
Distillation-Free One-Step Diffusion for Real-World Image Super-ResolutionCode2
Frequency-Assisted Mamba for Remote Sensing Image Super-ResolutionCode2
Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-ResolutionCode2
GenN2N: Generative NeRF2NeRF TranslationCode2
AIM 2020 Challenge on Efficient Super-Resolution: Methods and ResultsCode2
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-ResolutionCode2
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-ResolutionCode2
HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion ModelsCode2
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual LearningCode2
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion ModelsCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution PriorsCode2
Image Super-Resolution Using Very Deep Residual Channel Attention NetworksCode2
Immersive Neural Graphics PrimitivesCode2
Adaptive Super Resolution For One-Shot Talking-Head GenerationCode2
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
Auto-Encoded Supervision for Perceptual Image Super-ResolutionCode2
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation ModelCode2
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and ResultsCode2
Learning Generative Structure Prior for Blind Text Image Super-resolutionCode2
Arbitrary-Scale Video Super-Resolution with Structural and Textural PriorsCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differencesCode2
Deep Constrained Least Squares for Blind Image Super-ResolutionCode2
AERO: Audio Super Resolution in the Spectral DomainCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified