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Image Reconstruction

Papers

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Showing 1101–1150 of 2143 papers

TitleStatusHype
Deep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction—0
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction—0
Deep-learning-based Breast CT for Radiation Dose Reduction—0
Deep learning-based color holographic microscopy—0
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Deep learning based electrical noise removal enables high spectral optoacoustic contrast in deep tissue—0
Deep learning-based hyperspectral image reconstruction for quality assessment of agro-product—0
Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects—0
Deep Learning based Spectral CT Imaging—0
Deep learning-based super-resolution in coherent imaging systems—0
Deep learning-based virtual refocusing of images using an engineered point-spread function—0
Deep Learning for Biomedical Image Reconstruction: A Survey—0
Deep learning for biomedical photoacoustic imaging: A review—0
Deep learning for fast MR imaging: a review for learning reconstruction from incomplete k-space data—0
Reconstruction Task Finds Universal Winning Tickets—0
ReconU-Net: a direct PET image reconstruction using U-Net architecture with back projection-induced skip connection—0
Recovery of Point Clouds on Surfaces: Application to Image Reconstruction—0
Recurrent neural network-based volumetric fluorescence microscopy—0
Recursive Filter for Space-Variant Variance Reduction—0
Reducing Randomness of Non-Regular Sampling Masks for Image Reconstruction—0
Reference-based Magnetic Resonance Image Reconstruction Using Texture Transformer—0
Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics—0
Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction—0
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm—0
Regularized Sparse Gaussian Processes—0
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers—0
Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction—0
Reliability-based Mesh-to-Grid Image Reconstruction—0
Remote sensing image fusion based on Bayesian GAN—0
Removing Anomalies as Noises for Industrial Defect Localization—0
Re-ordering of Hadamard matrix using Fourier transform and gray-level co-occurrence matrix for compressive single-pixel imaging—0
Reproducing Activation Function for Deep Learning—0
ReRAW: RGB-to-RAW Image Reconstruction via Stratified Sampling for Efficient Object Detection on the Edge—0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images—0
Residual Contrastive Learning: Unsupervised Representation Learning from Residuals—0
Residual Transformer Fusion Network for Salt and Pepper Image Denoising—0
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction—0
ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features—0
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction—0
Rethinking the optimization process for self-supervised model-driven MRI reconstruction—0
Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections—0
Retina-Like Visual Image Reconstruction via Spiking Neural Model—0
Reversing Deep Face Embeddings with Probable Privacy Protection—0
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation—0
Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium—0
RMFA-Net: A Neural ISP for Real RAW to RGB Image Reconstruction—0
Robust Compressed Sensing and Sparse Coding with the Difference Map—0
Robust image reconstruction from multi-view measurements—0
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization—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