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 1401–1425 of 3874 papers

TitleStatusHype
LatticeNet: Towards Lightweight Image Super-resolution with Lattice BlockCode0
Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-ResolutionCode0
LAR-SR: A Local Autoregressive Model for Image Super-ResolutionCode0
Multi-scale super-resolution generation of low-resolution scanned pathological imagesCode0
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing ImagesCode0
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution ImagingCode0
Combination of Single and Multi-frame Image Super-resolution: An Analytical PerspectiveCode0
Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion ModelsCode0
LAP: a Linearize and Project Method for Solving Inverse Problems with Coupled VariablesCode0
EnhanceNet: Single Image Super-Resolution Through Automated Texture SynthesisCode0
Laplacian Pyramid-like AutoencoderCode0
Enhanced Semantic Segmentation Pipeline for WeatherProof Dataset ChallengeCode0
Kernel Modeling Super-Resolution on Real Low-Resolution ImagesCode0
Kernel-aware Burst Blind Super-ResolutionCode0
Enhanced Control for Diffusion Bridge in Image RestorationCode0
Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From ShadingCode0
Enforcing Physical Constraints in Neural Neural Networks through Differentiable PDE LayerCode0
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR VideoCode0
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New BenchmarkCode0
Joint Super-Resolution and Alignment of Tiny FacesCode0
End-to-End Optimization of Metasurfaces for Imaging with Compressed SensingCode0
Joint Maximum Purity Forest with Application to Image Super-ResolutionCode0
Joint Reconstruction and Spatial Super-Resolution of Hyper-Spectral CTIS Images via Multi-Scale RefinementCode0
IterInv: Iterative Inversion for Pixel-Level T2I ModelsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified