SOTAVerified

Image Reconstruction

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1451–1500 of 2143 papers

TitleStatusHype
What Is the Space of Attenuation Coefficients in Underwater Computer Vision?—0
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-view CT—0
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method—0
When Wireless Communications Meet Computer Vision in Beyond 5G—0
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding—0
WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization—0
XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI—0
X-GANs: Image Reconstruction Made Easy for Extreme Cases—0
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics—0
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections for Image-guided Radiation Therapy via a Transformer Network—0
0.8% Nyquist computational ghost imaging via non-experimental deep learning—0
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding—0
LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior—0
LE2Fusion: A novel local edge enhancement module for infrared and visible image fusion—0
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction—0
Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues—0
Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models—0
Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging—0
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography—0
Learned HDR Image Compression for Perceptually Optimal Storage and Display—0
Learned Image Compression for Machine Perception—0
Learned reconstruction methods with convergence guarantees—0
Learning Adaptive Dense Event Stereo From the Image Domain—0
Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging—0
Learning-based Image Reconstruction via Parallel Proximal Algorithm—0
Learning beamforming in ultrasound imaging—0
Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features—0
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches—0
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction—0
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction—0
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration—0
Learning Image Deraining Transformer Network with Dynamic Dual Self-Attention—0
Learning Lipschitz-Controlled Activation Functions in Neural Networks for Plug-and-Play Image Reconstruction Methods—0
Learning Nonlinear Spectral Filters for Color Image Reconstruction—0
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks—0
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network—0
Learning Radiance Fields from a Single Snapshot Compressive Image—0
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction—0
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI—0
Learning Sparsity-Promoting Regularizers using Bilevel Optimization—0
Learning Spatially Adaptive _1-Norms Weights for Convolutional Synthesis Regularization—0
Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction—0
Learning the Imaging Model of Speed-of-Sound Reconstruction via a Convolutional Formulation—0
Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys—0
Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction—0
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images—0
Learning to Have an Ear for Face Super-Resolution—0
Learning to synthesize: splitting and recombining low and high spatial frequencies for image recovery—0
Learning with Known Operators reduces Maximum Training Error Bounds—0
Less Memory, Faster Speed: Refining Self-Attention Module for Image Reconstruction—0
Show:102550
← PrevPage 30 of 43Next →
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