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Image Reconstruction

Papers

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Showing 751–800 of 2143 papers

TitleStatusHype
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory—0
Accelerated Dynamic Magnetic Resonance Imaging from Spatial-Subspace Reconstructions (SPARS)—0
Edge-adaptive l2 regularization image reconstruction from non-uniform Fourier data—0
Fast 3D Volumetric Image Reconstruction from 2D MRI Slices by Parallel Processing—0
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings—0
Anti-biofouling Lensless Camera System with Deep Learning based Image Reconstruction—0
Fast and High-Quality Blind Multi-Spectral Image Pansharpening—0
Complex Convolutional Neural Networks for Ultrafast Ultrasound Image Reconstruction from In-Phase/Quadrature Signal—0
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs—0
Complex Fully Convolutional Neural Networks for MR Image Reconstruction—0
Can fully convolutional networks perform well for general image restoration problems?—0
An axially-variant kernel imaging model applied to ultrasound image reconstruction—0
Fast High-Quality Enhanced Imaging Algorithm for Layered Dielectric Targets Based on MMW MIMO-SAR System—0
Fast Marching based Tissue Adaptive Delay Estimation for Aberration Corrected Delay and Sum Beamforming in Ultrasound Imaging—0
2.5D Deep Learning for CT Image Reconstruction using a Multi-GPU implementation—0
1st Place Solutions for UG2+ Challenge 2022 ATMOSPHERIC TURBULENCE MITIGATION—0
Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior—0
Dynamic PET cardiac and parametric image reconstruction: a fixed-point proximity gradient approach using patch-based DCT and tensor SVD regularization—0
Fast Object Classification in Single-pixel Imaging—0
Compressed Sensing, ASBSR-method of image sampling and reconstruction and the problem of digital image acquisition with the lowest possible sampling rate—0
Fast PET reconstruction using Multi-scale Fully Convolutional Neural Networks—0
Compressed sensing for longitudinal MRI: An adaptive-weighted approach—0
Fast Sampling generative model for Ultrasound image reconstruction—0
Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network—0
Fast X-ray CT image reconstruction using the linearized augmented Lagrangian method with ordered subsets—0
FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting—0
Compressed Sensing SAR Imaging with Multilook Processing—0
Feature-Driven Super-Resolution for Object Detection—0
Anatomy and Physiology of Artificial Intelligence in PET Imaging—0
Feature reconstruction from incomplete tomographic data without detour—0
Generative-Model-Based Fully 3D PET Image Reconstruction by Conditional Diffusion Sampling—0
FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction—0
Dynamic MRI using Learned Transform-based Tensor Low-Rank Network (LT^2LR-Net)—0
Dynamic Low-light Imaging with Quanta Image Sensors—0
Dynamic Low-light Imaging with Quanta Image Sensors—0
Few-shot Image Generation via Style Adaptation and Content Preservation—0
Few-shot Shape Recognition by Learning Deep Shape-aware Features—0
Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network—0
FG-Depth: Flow-Guided Unsupervised Monocular Depth Estimation—0
Compressive Recovery of Signals Defined on Perturbed Graphs—0
Dynamic Cell Imaging in PET with Optimal Transport Regularization—0
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction—0
Finite Hilbert Transform in Weighted L2 Spaces—0
Computational distributed fiber-optic sensing—0
Generative Semantic Communication for Joint Image Transmission and Segmentation—0
Computational ghost imaging using a field-programmable gate array—0
Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery—0
Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography—0
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN—0
High-fidelity Endoscopic Image Synthesis by Utilizing Depth-guided Neural Surfaces—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