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Image Reconstruction

Papers

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Showing 1601–1650 of 2143 papers

TitleStatusHype
MRI Image Reconstruction via Learning Optimization Using Neural ODEs—0
MR image reconstruction using deep density priors—0
MR imaging in the low-field: Leveraging the power of machine learning—0
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction—0
Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction—0
Multi-feature Reconstruction Network using Crossed-mask Restoration for Unsupervised Industrial Anomaly Detection—0
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters—0
Multi-granularity Backprojection Transformer for Remote Sensing Image Super-Resolution—0
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction—0
Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction—0
Multi-level Encoder-Decoder Architectures for Image Restoration—0
Multi-modal Vision Pre-training for Medical Image Analysis—0
Multiple GAN Inversion for Exemplar-based Image-to-Image Translation—0
Multiplication-Avoiding Variant of Power Iteration with Applications—0
Multiresolution Approach to Acceleration of Iterative Image Reconstruction for X-Ray Imaging for Security Applications—0
Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning—0
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity—0
Multi-Stage Generative Upscaler: Reconstructing Football Broadcast Images via Diffusion Models—0
Multi-Subject Image Synthesis as a Generative Prior for Single-Subject PET Image Reconstruction—0
Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction—0
Natural Image Reconstruction from fMRI using Deep Learning: A Survey—0
Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods—0
Near-Exact Recovery for Sparse-View CT via Data-Driven Methods—0
Near-Field MIMO-ISAR Millimeter-Wave Imaging—0
Needle tip force estimation by deep learning from raw spectral OCT data—0
Neural Born Series Operator for Biomedical Ultrasound Computed Tomography—0
Neural Computed Tomography—0
Neural Experts: Mixture of Experts for Implicit Neural Representations—0
Neural Image Compression with Quantization Rectifier—0
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging—0
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction—0
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data—0
Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction—0
Go with the Flow: Adaptive Control for Neural ODEs—0
Neural Photofit: Gaze-based Mental Image Reconstruction—0
Neural Star Domain as Primitive Representation—0
Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar—0
Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media—0
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation—0
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction—0
NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras—0
New Computational Techniques for a Faster Variation of BM3D Image Denoising—0
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning—0
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling—0
Noise- and Outlier-Resistant Tomographic Reconstruction under Unknown Viewing Parameters—0
Noise reduction in ISAR imaging of UAVs using weighted atomic norm minimization and 2D-ADMM algorithm—0
Noise-robust latent vector reconstruction in ptychography using deep generative models—0
Nonconvex L_ 1/2 -Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction—0
SAR image matching algorithm based on multi-class features—0
Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI—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