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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–825 of 3874 papers

TitleStatusHype
MuCAN: Multi-Correspondence Aggregation Network for Video Super-ResolutionCode1
Deep Blind Super-Resolution for Satellite VideoCode1
Deep Blind Video Super-resolutionCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Deep Burst Super-ResolutionCode1
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelCode1
Dual Super-Resolution Learning for Semantic SegmentationCode1
Burst Super-Resolution with Diffusion Models for Improving Perceptual QualityCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-ResolutionCode1
AutoGAN-Distiller: Searching to Compress Generative Adversarial NetworksCode1
A New Dataset and Framework for Real-World Blurred Images Super-ResolutionCode1
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRICode1
Dual-Camera Super-Resolution with Aligned Attention ModulesCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstructionCode1
Neural Sparse Representation for Image RestorationCode1
Neural Vocoder is All You Need for Speech Super-resolutionCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
Noise Conditional Flow Model for Learning the Super-Resolution SpaceCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified