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Image Reconstruction

Papers

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Showing 101–150 of 2143 papers

TitleStatusHype
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated NoiseCode0
Structure-Aware Correspondence Learning for Relative Pose Estimation—0
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping—0
Self-Supervised Learning based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation—0
Benchmarking Burst Super-Resolution for Polarization Images: Noise Dataset and Analysis—0
Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear SystemsCode0
Deep End-to-End Posterior ENergy (DEEPEN) for image recovery—0
Unsupervised Joint Learning of Optical Flow and Intensity with Event CamerasCode1
Iterative Optimal Attention and Local Model for Single Image Rain Streak RemovalCode0
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation—0
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration—0
Boosting HDR Image Reconstruction via Semantic Knowledge Transfer—0
Graph-CNNs for RF Imaging: Learning the Electric Field Integral Equations—0
Sampling Innovation-Based Adaptive Compressive SensingCode1
Mixed-granularity Implicit Representation for Continuous Hyperspectral Compressive ReconstructionCode0
Multi-Stage Generative Upscaler: Reconstructing Football Broadcast Images via Diffusion Models—0
Image Reconstruction from an Elastically Distorted Scan—0
Leveraging Diffusion Knowledge for Generative Image Compression with Fractal Frequency-Aware Band Learning—0
Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size—0
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging—0
Learning Spatially Adaptive _1-Norms Weights for Convolutional Synthesis Regularization—0
Layton: Latent Consistency Tokenizer for 1024-pixel Image Reconstruction and Generation by 256 TokensCode0
Posterior-Mean Denoising Diffusion Model for Realistic PET Image Reconstruction—0
Additive Frequency Diverse Active Incoherent Millimeter-Wave Imaging—0
Large model enhanced computational ghost imagingCode0
From Image- to Pixel-level: Label-efficient Hyperspectral Image Reconstruction—0
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction—0
A Comprehensive Survey on Magnetic Resonance Image Reconstruction—0
Reconstructing Depth Images of Moving Objects from Wi-Fi CSI Data—0
Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling—0
Towards Universal Learning-based Model for Cardiac Image Reconstruction: Summary of the CMRxRecon2024 ChallengeCode0
A self-supervised cyclic neural-analytic approach for novel view synthesis and 3D reconstruction—0
ReRAW: RGB-to-RAW Image Reconstruction via Stratified Sampling for Efficient Object Detection on the Edge—0
Undertrained Image Reconstruction for Realistic Degradation in Blind Image Super-Resolution—0
Towards a robust R2D2 paradigm for radio-interferometric imaging: revisiting DNN training and architecture—0
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shiftingCode1
Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS—0
MR-EIT: Multi-Resolution Reconstruction for Electrical Impedance Tomography via Data-Driven and Unsupervised Dual-Mode Neural Networks—0
Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance—0
Hyperspectral image reconstruction by deep learning with super-Rayleigh speckles—0
Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory—0
A Survey of fMRI to Image Reconstruction—0
Quantitative First-Pass Perfusion CMR: from technical principles to clinical practice—0
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models—0
Residual Transformer Fusion Network for Salt and Pepper Image Denoising—0
Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models—0
Rapid Whole Brain Motion-robust Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation—0
Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation—0
Multi-Task-oriented Nighttime Haze Imaging Enhancer for Vision-driven Measurement SystemsCode0
Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections—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