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 351–375 of 3874 papers

TitleStatusHype
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical SystemsCode1
Conditional Variational Diffusion ModelsCode1
Conditional Simulation Using Diffusion Schrödinger BridgesCode1
CNN-generated images are surprisingly easy to spot... for nowCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-ResolutionCode1
Consistent Direct Time-of-Flight Video Depth Super-ResolutionCode1
Closed-loop Matters: Dual Regression Networks for Single Image Super-ResolutionCode1
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-ResolutionCode1
DSR: Towards Drone Image Super-ResolutionCode1
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal LearningCode1
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-ResolutionCode1
edge-SR: Super-Resolution For The MassesCode1
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-ResolutionCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
ARM: Any-Time Super-Resolution MethodCode1
Asymmetric CNN for image super-resolutionCode1
Creating High Resolution Images with a Latent Adversarial GeneratorCode1
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-ResolutionCode1
DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRFCode1
A heterogeneous group CNN for image super-resolutionCode1
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolutionCode1
Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great AgainCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified