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Image Reconstruction

Papers

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Showing 1651–1675 of 2143 papers

TitleStatusHype
Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography—0
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration—0
NovelGS: Consistent Novel-view Denoising via Large Gaussian Reconstruction Model—0
Novel Super-Resolution Method Based on High Order Nonlocal-Means—0
Novelty Detection via Non-Adversarial Generative Network—0
NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery—0
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping—0
OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space—0
Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model—0
ODE-based Deep Network for MRI Reconstruction—0
Off-the-grid model based deep learning (O-MODL)—0
OL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement—0
On Adapting Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction—0
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction—0
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models—0
On Quantizing Implicit Neural Representations—0
On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy—0
On Scale Space Radon Transform, Properties and Application in CT Image Reconstruction—0
On the Empirical Effect of Gaussian Noise in Under-sampled MRI Reconstruction—0
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease—0
On the Quantification of Image Reconstruction Uncertainty without Training Data—0
On the Robustness of deep learning-based MRI Reconstruction to image transformations—0
On the robustness of model-based algorithms for photoacoustic tomography: comparison between time and frequency domains—0
On the unreasonable effectiveness of CNNs—0
Operator Sketching for Deep Unrolling Networks—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