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 726–750 of 3874 papers

TitleStatusHype
Joint Demosaicing and Denoising With Self GuidanceCode1
A new public Alsat-2B dataset for single-image super-resolutionCode1
Cross-View Hierarchy Network for Stereo Image Super-ResolutionCode1
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrastCode1
CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image FusionCode1
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflowCode1
KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free MatchingCode1
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-ResolutionCode1
KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local AdjustmentCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
Action Matching: Learning Stochastic Dynamics from SamplesCode1
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-ResolutionCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
Asymmetric CNN for image super-resolutionCode1
LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion ModelsCode1
Learned Compression for Images and Point CloudsCode1
Learned Image Downscaling for Upscaling using Content Adaptive ResamplerCode1
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-ResolutionCode1
Discovering Distinctive "Semantics" in Super-Resolution NetworksCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
Adaptive Convolutional Neural Network for Image Super-resolutionCode1
CVAE-GAN: Fine-Grained Image Generation through Asymmetric TrainingCode1
A heterogeneous group CNN for image super-resolutionCode1
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolutionCode1
DL4DS -- Deep Learning for empirical DownScalingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified