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 801–850 of 3874 papers

TitleStatusHype
Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic FiltersCode1
Deep Blind Super-Resolution for Satellite VideoCode1
Deep Blind Video Super-resolutionCode1
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB ImageCode1
Deep Burst Super-ResolutionCode1
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelCode1
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and ReportCode1
EgoVSR: Towards High-Quality Egocentric Video Super-ResolutionCode1
ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial NetworkCode1
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-ResolutionCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
NEMO: enabling neural-enhanced video streaming on commodity mobile devicesCode1
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Designing a Practical Degradation Model for Deep Blind Image Super-ResolutionCode1
Neural Vocoder is All You Need for Speech Super-resolutionCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstructionCode1
NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing FrameworkCode1
Noise Conditional Flow Model for Learning the Super-Resolution SpaceCode1
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-ResolutionCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
A New Dataset and Transformer for Stereoscopic Video Super-ResolutionCode1
EBSR: Feature Enhanced Burst Super-Resolution With Deformable AlignmentCode1
NTIRE 2024 Challenge on Image Super-Resolution (4): Methods and ResultsCode1
ECAMP: Entity-centered Context-aware Medical Vision Language Pre-trainingCode1
Burst Super-Resolution with Diffusion Models for Improving Perceptual QualityCode1
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
NU-Wave: A Diffusion Probabilistic Model for Neural Audio UpsamplingCode1
ODVista: An Omnidirectional Video Dataset for super-resolution and Quality Enhancement TasksCode1
A New Dataset and Framework for Real-World Blurred Images Super-ResolutionCode1
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution NetworksCode1
On Measuring and Controlling the Spectral Bias of the Deep Image PriorCode1
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image RepresentationCode1
On the Effectiveness of Spectral Discriminators for Perceptual Quality ImprovementCode1
DynaVSR: Dynamic Adaptive Blind Video Super-ResolutionCode1
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling NetworkCode1
Edge and Identity Preserving Network for Face Super-ResolutionCode1
PAMS: Quantized Super-Resolution via Parameterized Max ScaleCode1
Dual-Stage Approach Toward Hyperspectral Image Super-ResolutionCode1
BAM: A Balanced Attention Mechanism for Single Image Super ResolutionCode1
Deep Learning-based Face Super-Resolution: A SurveyCode1
Parallax Attention for Unsupervised Stereo Correspondence LearningCode1
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
Dual Super-Resolution Learning for Semantic SegmentationCode1
Burst Image Restoration and EnhancementCode1
Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRICode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified