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 776–800 of 3874 papers

TitleStatusHype
Burst Super-Resolution with Diffusion Models for Improving Perceptual QualityCode1
Attentive Fine-Grained Structured Sparsity for Image RestorationCode1
Gated Fusion Network for Degraded Image Super ResolutionCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
A New Dataset and Framework for Real-World Blurred Images Super-ResolutionCode1
A Two-Stage Attentive Network for Single Image Super-ResolutionCode1
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded ImagesCode1
Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain AttentionCode1
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrastCode1
Generalized Real-World Super-Resolution through Adversarial RobustnessCode1
OSRT: Omnidirectional Image Super-Resolution with Distortion-aware TransformerCode1
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Deep Adaptive Inference Networks for Single Image Super-ResolutionCode1
Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change ProjectionsCode1
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance PursuitCode1
Iterative Token Evaluation and Refinement for Real-World Super-ResolutionCode1
Generative Adversarial NetworksCode1
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-AttentionCode1
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC AlgorithmCode1
Joint Demosaicing and Denoising With Self GuidanceCode1
Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face RestorationCode1
DeepBedMap: Using a deep neural network to better resolve the bed topography of AntarcticaCode1
Burst Image Restoration and EnhancementCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified