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 876–900 of 3874 papers

TitleStatusHype
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolutionCode1
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: ReportCode1
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural NetworkCode1
Efficient Image Super-Resolution Using Pixel AttentionCode1
EFENet: Reference-based Video Super-Resolution with Enhanced Flow EstimationCode1
Real-World Video Super-Resolution: A Benchmark Dataset and a Decomposition Based Learning SchemeCode1
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operatorCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
Best-Buddy GANs for Highly Detailed Image Super-ResolutionCode1
Efficient and Degradation-Adaptive Network for Real-World Image Super-ResolutionCode1
Burst Image Restoration and EnhancementCode1
Adaptive Patch Exiting for Scalable Single Image Super-ResolutionCode1
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-ResolutionCode1
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image DenoisingCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
EDVR: Video Restoration with Enhanced Deformable Convolutional NetworksCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
Edge-enhanced Feature Distillation Network for Efficient Super-ResolutionCode1
edge-SR: Super-Resolution For The MassesCode1
ECAMP: Entity-centered Context-aware Medical Vision Language Pre-trainingCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified