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 1326–1350 of 3874 papers

TitleStatusHype
Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian OperationsCode0
Lightweight Feature Fusion Network for Single Image Super-ResolutionCode0
Learning Parallax Attention for Stereo Image Super-ResolutionCode0
A Regularized Conditional GAN for Posterior Sampling in Image Recovery ProblemsCode0
Learning Series-Parallel Lookup Tables for Efficient Image Super-ResolutionCode0
Exemplar Guided Face Image Super-Resolution without Facial LandmarksCode0
Learning of Patch-Based Smooth-Plus-Sparse Models for Image ReconstructionCode0
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super ResolutionCode0
Conditional Generation Using Polynomial ExpansionsCode0
Learning Likelihoods with Conditional Normalizing FlowsCode0
Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel RemovalCode0
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution ForestsCode0
Light Field Super-resolution via Attention-Guided Fusion of Hybrid LensesCode0
Evaluating Robustness of Deep Image Super-Resolution against Adversarial AttacksCode0
Content and Colour Distillation for Learning Image Translations with the Spatial Profile LossCode0
Learning Descriptor Networks for 3D Shape Synthesis and AnalysisCode0
MetH: A family of high-resolution and variable-shape image challengesCode0
Arbitrary Scale Super-Resolution for Brain MRI ImagesCode0
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate ReductionCode0
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution ImagingCode0
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance RegularizationCode0
Learning Accurate and Enriched Features for Stereo Image Super-ResolutionCode0
LatticeNet: Towards Lightweight Image Super-resolution with Lattice BlockCode0
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing ImagesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified