SOTAVerified

De-aliasing

De-aliasing is the problem of recovering the original high-frequency information that has been aliased during the acquisition of an image.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 22 papers

TitleStatusHype
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent FlowsCode2
When Semantic Segmentation Meets Frequency AliasingCode1
Adaptive Diffusion Priors for Accelerated MRI ReconstructionCode1
A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep DenoisersCode1
Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image ReconstructionCode1
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterationsCode1
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite ImageryCode1
HighRes-net: Multi-Frame Super-Resolution by Recursive FusionCode1
Deep learning based spatial aliasing reduction in beamforming for audio capture—0
EMWaveNet: Physically Explainable Neural Network Based on Electromagnetic Propagation for SAR Target Recognition—0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.