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Image Reconstruction

Papers

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Showing 1051–1100 of 2143 papers

TitleStatusHype
Human from Blur: Human Pose Tracking from Blurry Images—0
SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTACode0
Low-Dose CT Image Reconstruction using Vector Quantized Convolutional Autoencoder with Perceptual Loss—0
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT ReconstructionCode0
Joint Multi-Echo/Respiratory Motion-Resolved Compressed Sensing Reconstruction of Free-Breathing Non-Cartesian Abdominal MRI—0
AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection—0
MRI Reconstruction with Side Information using Diffusion Models—0
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion—0
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Image Reconstruction without Explicit Priors—0
Task-based Generation of Optimized Projection Sets using Differentiable Ranking—0
FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder—0
Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation—0
SUD^2: Supervision by Denoising Diffusion Models for Image Reconstruction—0
Fast 3D Volumetric Image Reconstruction from 2D MRI Slices by Parallel Processing—0
SMUG: Towards robust MRI reconstruction by smoothed unrollingCode0
Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRICode0
Improving Masked Autoencoders by Learning Where to Mask—0
Reconstruction of Cardiac Cine MRI Using Motion-Guided Deformable Alignment and Multi-Resolution Fusion—0
Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse ProblemsCode0
DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction—0
STPDnet: Spatial-temporal convolutional primal dual network for dynamic PET image reconstruction—0
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition—0
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification—0
Refining 3D Human Texture Estimation from a Single ImageCode0
Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography—0
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics—0
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution—0
Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and SynthesisCode0
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors—0
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification—0
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty AlignmentCode0
Self-Supervised and Supervised Deep Learning for PET Image Reconstruction—0
LMPDNet: TOF-PET list-mode image reconstruction using model-based deep learning method—0
Image Reconstruction via Deep Image Prior SubspacesCode0
Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection—0
Plug-and-Play Deep Energy Model for Inverse problems—0
Vector Quantized Wasserstein Auto-Encoder—0
Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium—0
Accelerated Dynamic Magnetic Resonance Imaging from Spatial-Subspace Reconstructions (SPARS)—0
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning—0
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning -- A Residual Physics Approach—0
The geometry of hidden representations of large transformer modelsCode0
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease—0
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows—0
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
DELTA-MRI: Direct deformation Estimation from LongiTudinally Acquired k-space data—0
Training End-to-End Unrolled Iterative Neural Networks for SPECT Image Reconstruction—0
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference—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