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 301–350 of 3874 papers

TitleStatusHype
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-ResolutionCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV TrackingCode1
Conditional Simulation Using Diffusion Schrödinger BridgesCode1
Activating Wider Areas in Image Super-ResolutionCode1
Conditional Variational Diffusion ModelsCode1
A heterogeneous group CNN for image super-resolutionCode1
Adaptive Convolutional Neural Network for Image Super-resolutionCode1
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical SystemsCode1
Action Matching: Learning Stochastic Dynamics from SamplesCode1
Conditional Hyper-Network for Blind Super-Resolution with Multiple DegradationsCode1
Consistent Direct Time-of-Flight Video Depth Super-ResolutionCode1
Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-ResolutionCode1
Computing Multiple Image Reconstructions with a Single HypernetworkCode1
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal LearningCode1
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
Compression-Aware Video Super-ResolutionCode1
4DFlowNet: Super-Resolution 4D Flow MRI using Deep Learning and Computational Fluid DynamicsCode1
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-ResolutionCode1
Dual-Stage Approach Toward Hyperspectral Image Super-ResolutionCode1
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-ResolutionCode1
Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRICode1
Component Divide-and-Conquer for Real-World Image Super-ResolutionCode1
Combining Attention Module and Pixel Shuffle for License Plate Super-ResolutionCode1
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationCode1
Dual-Camera Super-Resolution with Aligned Attention ModulesCode1
Dual Super-Resolution Learning for Semantic SegmentationCode1
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution NetworksCode1
A Spectral Diffusion Prior for Hyperspectral Image Super-ResolutionCode1
Collaborative Feedback Discriminative Propagation for Video Super-ResolutionCode1
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-based Super-ResolutionCode1
Closed-loop Matters: Dual Regression Networks for Single Image Super-ResolutionCode1
ControlSR: Taming Diffusion Models for Consistent Real-World Image Super ResolutionCode1
DREAM: Diffusion Rectification and Estimation-Adaptive ModelsCode1
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution NetworksCode1
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image SynthesisCode1
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-ResolutionCode1
Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great AgainCode1
DL4DS -- Deep Learning for empirical DownScalingCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Discrete Cosine Transform Network for Guided Depth Map Super-ResolutionCode1
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data CharacteristicCode1
Collapsible Linear Blocks for Super-Efficient Super ResolutionCode1
DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRFCode1
A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-ResolutionCode1
CNN-generated images are surprisingly easy to spot... for nowCode1
Does Diffusion Beat GAN in Image Super Resolution?Code1
DSR: Towards Drone Image Super-ResolutionCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
ARM: Any-Time Super-Resolution MethodCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified