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Image Reconstruction

Papers

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Showing 1451–1500 of 2143 papers

TitleStatusHype
Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography—0
Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network—0
MMV-Net: A Multiple Measurement Vector Network for Multi-frequency Electrical Impedance Tomography—0
Structurally Adaptive Multi-Derivative Regularization for Image Recovery from Sparse Fourier Samples—0
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction—0
Robust Principal Component Analysis Using a Novel Kernel Related with the L1-Norm—0
Generalized Hessian-Schatten Norm Regularization for Image Reconstruction—0
Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization—0
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI—0
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement—0
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI ReconstructionCode0
Quantized Proximal Averaging Network for Analysis Sparse Coding—0
DONet: Dual-Octave Network for Fast MR Image Reconstruction—0
Robust Training Using Natural Transformation—0
Model reduction in acoustic inversion by artificial neural network—0
ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked ObjectsCode0
Fixed-Point and Objective Convergence of Plug-and-Play AlgorithmsCode0
A Two-stage Deep Network for High Dynamic Range Image ReconstructionCode0
XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI—0
Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches—0
SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging—0
Maximum Entropy Auto-Encoding—0
Blind Primed Supervised (BLIPS) Learning for MR Image ReconstructionCode0
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo—0
Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction—0
High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation—0
Adversarially learned iterative reconstruction for imaging inverse problemsCode0
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse ProblemsCode0
Training a Task-Specific Image Reconstruction Loss—0
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond—0
Multiple GAN Inversion for Exemplar-based Image-to-Image Translation—0
Generative-Adversarial-Networks-based Ghost Recognition—0
PAT image reconstruction using augmented sparsity regularization with practicable tuning of regularization weight—0
Unsupervised Two-Stage Anomaly Detection—0
Model-based Reconstruction for Single Particle Cryo-Electron Microscopy—0
Model-based Reconstruction for Enhanced X-ray CT of Tri-structural Isotropic (TRISO) Particles—0
Real-Time, Deep Synthetic Aperture Sonar (SAS) Autofocus—0
Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning—0
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms—0
Fast and High-Quality Blind Multi-Spectral Image Pansharpening—0
New Computational Techniques for a Faster Variation of BM3D Image Denoising—0
Fast and Accurate: Video Enhancement using Sparse Depth—0
A Neural Network for SemigroupsCode0
Super-Resolving Beyond Satellite Hardware Using Realistically Degraded Images—0
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction—0
Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation—0
Memory-efficient Learning for High-Dimensional MRI Reconstruction—0
Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction—0
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data—0
PET Image Reconstruction with Multiple Kernels and Multiple Kernel Space Regularizers—0
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All datasetsImageNetUltra-High Resolution Image Reconstruction BenchmarkEdge-to-HandbagsEdge-to-ShoesAudio SetImageNet 256x256Edge-to-ClothesSpike-X4K

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Taming-VQGAN (16x16)FID3.64—Unverified
2VQGAN-LC (16x16)FID2.62—Unverified
3MaskGIT-VQGAN (16x16)FID2.28—Unverified
4RQ-VAE (8x8x16)FID1.83—Unverified
5TiTok-S-128FID1.71—Unverified
6MaskBit (16x16)FID1.66—Unverified
7ViT-VQGAN (16x16)FID1.28—Unverified
8Open-Magvit2 (16x16)FID1.17—Unverified
9Mo-VQGAN (16x16x4)FID1.12—Unverified
10IBQ (16x16)FID1—Unverified
#ModelMetricClaimedVerifiedStatus
1VAR (16x16)rFID9.85—Unverified
2VQGAN (16x16)rFID5.95—Unverified
3LlamaGen (16x16)rFID5.59—Unverified
4Open-Magvit2 (16x16)rFID4.18—Unverified
5MGVQ (16x16x4)rFID1.59—Unverified
6SD-VAE (16x16)rFID1.07—Unverified
#ModelMetricClaimedVerifiedStatus
1pix2pixFID96.31—Unverified
2bFTFID74.9—Unverified
3Xian et al._FID60.85—Unverified
4PI-RECFID0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1pix2pixFID197.49—Unverified
2bFTFID121.2—Unverified
3Xian et al._FID44.76—Unverified
4PI-RECFID0.02—Unverified
#ModelMetricClaimedVerifiedStatus
1Ours (STFT: magnitude, L1l=1) W-ReplicateSSIM0.88—Unverified
2Ours (STFT: magnitude, L1l=1) WS-ReplicateSSIM0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1AugVAE-SLFID3.28—Unverified
2AugVAE-MLFID1.04—Unverified
#ModelMetricClaimedVerifiedStatus
1bFTFID58.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinSFAverage PSNR39.61—Unverified