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Image Reconstruction

Papers

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Showing 1551–1600 of 2143 papers

TitleStatusHype
Spatiotemporal Imaging with Diffeomorphic Optimal Transportation—0
Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array—0
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval—0
Cost-Effective Quasi-Parallel Sensing Instrumentation for Industrial Chemical Species Tomography—0
Dual Contradistinctive Generative Autoencoder—0
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction—0
Deep convolutional neural network compression via coupled tensor decompositionCode0
Shared Prior Learning of Energy-Based Models for Image Reconstruction—0
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications—0
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil ConfigurationsCode0
Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern—0
Augmented Equivariant Attention Networks for Microscopy Image Reconstruction—0
Deep learning for biomedical photoacoustic imaging: A review—0
CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image PatternsCode0
Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction—0
Deep Autofocus for Synthetic Aperture Sonar—0
Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography—0
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking—0
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk EstimateCode0
D-VDAMP: Denoising-based Approximate Message Passing for Compressive MRICode0
Neural Star Domain as Primitive Representation—0
Recurrent neural network-based volumetric fluorescence microscopy—0
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms—0
Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction—0
SPECT Imaging Reconstruction Method Based on Deep Convolutional Neural Network—0
Variational Capsule Encoder—0
When Wireless Communications Meet Computer Vision in Beyond 5G—0
Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction—0
CSTNet: A Dual-Branch Convolutional Network for Imaging of Reactive Flows using Chemical Species Tomography—0
Unified Supervised-Unsupervised (SUPER) Learning for X-ray CT Image Reconstruction—0
Improving spatial domain based image formation through compressed sensing—0
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency—0
Sampling possible reconstructions of undersampled acquisitions in MR imagingCode0
Deep Image Reconstruction using Unregistered Measurements without Groundtruth—0
Deep Artifact-Free Residual Network for Single Image Super-Resolution—0
Complex Convolutional Neural Networks for Ultrafast Ultrasound Image Reconstruction from In-Phase/Quadrature Signal—0
Iterative regularization algorithms for image denoising with the TV-Stokes model—0
Remote sensing image fusion based on Bayesian GAN—0
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy—0
CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
A Residual Solver and Its Unfolding Neural Network for Total Variation Regularized Models—0
Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method—0
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking—0
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method—0
Privacy Leakage of SIFT Features via Deep Generative Model based Image ReconstructionCode0
Image Reconstruction of Static and Dynamic Scenes through Anisoplanatic Turbulence—0
Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium—0
Deep Learning based Spectral CT Imaging—0
Probabilistic Deep Learning for Instance Segmentation—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