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
Activating Wider Areas in Image Super-ResolutionCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-ResolutionCode1
Learning multi-scale local conditional probability models of imagesCode1
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-ResolutionCode1
Exploring Sparsity in Image Super-Resolution for Efficient InferenceCode1
edge-SR: Super-Resolution For The MassesCode1
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution NetworksCode1
DARTS: Double Attention Reference-based Transformer for Super-resolutionCode1
A Tree-guided CNN for image super-resolutionCode1
Attaining Real-Time Super-Resolution for Microscopic Images Using GANCode1
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modellingCode1
Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient ConvolutionCode1
Learning Texture Transformer Network for Image Super-ResolutionCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
Learning to Super-Resolve Blurry Images with EventsCode1
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
Attention Beats Linear for Fast Implicit Neural Representation GenerationCode1
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-ResolutionCode1
DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-ResolutionCode1
Lightweight Image Super-Resolution with Superpixel Token InteractionCode1
Attention in Attention Network for Image Super-ResolutionCode1
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature LearningCode1
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified