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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1201–1225 of 3874 papers

TitleStatusHype
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving TransformerCode0
Deep Generative Model based Rate-Distortion for Image Downscaling AssessmentCode0
Deep Fusion Prior for Plenoptic Super-Resolution All-in-Focus ImagingCode0
Deep Fourier Up-SamplingCode0
MemNet: A Persistent Memory Network for Image RestorationCode0
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-MixerCode0
Deep Decomposition Learning for Inverse Imaging ProblemsCode0
DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-ResolutionCode0
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face HallucinationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
DeepCEL0 for 2D Single Molecule Localization in Fluorescence MicroscopyCode0
Deep Burst DenoisingCode0
Adaptation of the super resolution SOTA for Art Restoration in camera capture imagesCode0
A Unified Neural Architecture for Instrumental Audio TasksCode0
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow ModelsCode0
Deep Bi-Dense Networks for Image Super-ResolutionCode0
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and ResultsCode0
Medical Image Imputation from Image CollectionsCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
Deep Back-Projection Networks For Super-ResolutionCode0
Deep Back-Projection Networks for Single Image Super-resolutionCode0
AIM 2019 Challenge on Constrained Super-Resolution: Methods and ResultsCode0
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image PriorCode0
MTVNet: Mapping using Transformers for Volumes -- Network for Super-Resolution with Long-Range InteractionsCode0
MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified