Image de couverture de livre

Frequency-regularized Neural Representation Method for Sparse-view Tomographic Reconstruction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xian, Jingmou, Zhu, Jian, Liao, Haolin, Li, Si
Format:	Preprint
Publié:	2024
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
par: Su, Shiyan, et autres
Publié: (2026)

Discretized Gaussian Representation for Tomographic Reconstruction
par: Wu, Shaokai, et autres
Publié: (2024)

Super-temporal-resolution Photoacoustic Imaging with Dynamic Reconstruction through Implicit Neural Representation in Sparse-view
par: Xiao, Youshen, et autres
Publié: (2025)

R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction
par: Zha, Ruyi, et autres
Publié: (2024)

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction
par: Yu, Pengfei, et autres
Publié: (2025)

Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction
par: Tian, Xuanyu, et autres
Publié: (2025)

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography
par: Liu, Yifan, et autres
Publié: (2025)

DWTGS: Rethinking Frequency Regularization for Sparse-view 3D Gaussian Splatting
par: Nguyen, Hung, et autres
Publié: (2025)

Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction
par: Chen, Zini, et autres
Publié: (2025)

NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views
par: Maas, Kirsten W. H., et autres
Publié: (2024)

Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction
par: Chen, Hanyu, et autres
Publié: (2024)

NerT-CA: Efficient Dynamic Reconstruction from Sparse-view X-ray Coronary Angiography
par: Maas, Kirsten W. H., et autres
Publié: (2025)

3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation
par: Li, Yingtai, et autres
Publié: (2023)

WaveletGaussian: Wavelet-domain Diffusion for Sparse-view 3D Gaussian Object Reconstruction
par: Nguyen, Hung, et autres
Publié: (2025)

FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss
par: Wei, Meiyi, et autres
Publié: (2024)

Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
par: Chen, Huan, et autres
Publié: (2023)

Accelerated Optimization of Implicit Neural Representations for CT Reconstruction
par: Najaf, Mahrokh, et autres
Publié: (2025)

DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction
par: Lin, Yiqun, et autres
Publié: (2025)

GR-Gaussian: Graph-Based Radiative Gaussian Splatting for Sparse-View CT Reconstruction
par: Yuluo, Yikuang, et autres
Publié: (2025)

Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations
par: De Paolis, Gaia Romana, et autres
Publié: (2024)

Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation
par: Tian, Xuanyu, et autres
Publié: (2025)

Deep Learning-based Cross-modal Reconstruction of Vehicle Target from Sparse 3D SAR Image
par: Li, Da, et autres
Publié: (2024)

Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
par: Demircan-Tureyen, Ezgi, et autres
Publié: (2024)

Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
par: Liu, Zhentao, et autres
Publié: (2023)

Exploiting Frequency Correlation for Hyperspectral Image Reconstruction
par: Yan, Muge, et autres
Publié: (2024)

NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
par: Li, Sicheng, et autres
Publié: (2024)

A Deep Learning Approach for SAR Tomographic Imaging of Forested Areas
par: Berenger, Zoé, et autres
Publié: (2023)

ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
par: Schmidt-Mengin, Marius, et autres
Publié: (2024)

Light Field Compression Based on Implicit Neural Representation
par: Wang, Henan, et autres
Publié: (2024)

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
par: Lin, Tianyu, et autres
Publié: (2025)

HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder
par: Yang, Qi, et autres
Publié: (2025)

High-Frequency Enhanced Hybrid Neural Representation for Video Compression
par: Yu, Li, et autres
Publié: (2024)

Robust Hyperspectral Image Panshapring via Sparse Spatial-Spectral Representation
par: Lee, Chia-Ming, et autres
Publié: (2025)

PoCGM: Poisson-Conditioned Generative Model for Sparse-View CT Reconstruction
par: Fang, Changsheng, et autres
Publié: (2025)

Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization
par: Liu, Yilin, et autres
Publié: (2023)

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction
par: Zhang, Zhenxuan, et autres
Publié: (2025)

Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention
par: Li, Zhenghong, et autres
Publié: (2024)

Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
par: Lin, Yiqun, et autres
Publié: (2024)

Mixed-granularity Implicit Representation for Continuous Hyperspectral Compressive Reconstruction
par: Li, Jianan, et autres
Publié: (2025)

Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
par: Gaggion, Nicolás, et autres
Publié: (2023)