Cover Image

Iterative Diffusion-Refined Neural Attenuation Fields for Multi-Source Stationary CT Reconstruction: NAF Meets Diffusion Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fang, Jiancheng, Wang, Shaoyu, Wang, Junlin, Wu, Weiwen, Zhang, Yikun, Liu, Qiegen
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Continuity-driven Synergistic Diffusion with Neural Priors for Ultra-Sparse-View CBCT Reconstruction
by: Wang, Junlin, et al.
Published: (2026)

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction
by: Yu, Pengfei, et al.
Published: (2025)

FSP-Diff: Full-Spectrum Prior-Enhanced DualDomain Latent Diffusion for Ultra-Low-Dose Spectral CT Reconstruction
by: Peng, Peng, et al.
Published: (2026)

Residual Gaussian Splatting for Ultra Sparse-View CBCT Reconstruction
by: Lin, Jian, et al.
Published: (2026)

Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction
by: Zhang, Wenhao, et al.
Published: (2024)

Epi-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions
by: Gilo, Daniel, et al.
Published: (2024)

Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
by: Li, Haodong, et al.
Published: (2025)

Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model
by: Guan, Yu, et al.
Published: (2024)

GR-Diffusion: 3D Gaussian Representation Meets Diffusion in Whole-Body PET Reconstruction
by: Geng, Mengxiao, et al.
Published: (2026)

MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction
by: Zhang, Junyan, et al.
Published: (2024)

Diffusion Transformer Meets Random Masks: An Advanced PET Reconstruction Framework
by: Huang, Bin, et al.
Published: (2025)

Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction
by: Chen, Zini, et al.
Published: (2025)

Physics-Guided Null-Space Diffusion with Sparse Masking for Corrective Sparse-View CT Reconstruction
by: Zhou, Zekun, et al.
Published: (2025)

PLOT-CT: Pre-log Voronoi Decomposition Assisted Generation for Low-dose CT Reconstruction
by: Huang, Bin, et al.
Published: (2026)

Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction
by: Huang, Bin, et al.
Published: (2024)

Extendable Generalization Self-Supervised Diffusion for Low-Dose CT Reconstruction
by: Wei, Guoquan, et al.
Published: (2025)

Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked Diffusion
by: Zhou, Zekun, et al.
Published: (2025)

NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement
by: Cicchetti, Giordano, et al.
Published: (2024)

SCOUT: Fast Spectral CT Imaging in Ultra LOw-data Regimes via PseUdo-label GeneraTion
by: Wei, Guoquan, et al.
Published: (2026)

PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
by: Jia, Chengyou, et al.
Published: (2023)

Double-Constraint Diffusion Model with Nuclear Regularization for Ultra-low-dose PET Reconstruction
by: Geng, Mengxiao, et al.
Published: (2025)

UniSino: Physics-Driven Foundational Model for Universal CT Sinogram Standardization
by: Ai, Xingyu, et al.
Published: (2025)

FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction
by: Liu, Qiqing, et al.
Published: (2025)

Exploring Iterative Refinement with Diffusion Models for Video Grounding
by: Liang, Xiao, et al.
Published: (2023)

Structure-constrained Language-informed Diffusion Model for Unpaired Low-dose Computed Tomography Angiography Reconstruction
by: Zhang, Genyuan, et al.
Published: (2026)

Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models
by: Ozaki, Sho, et al.
Published: (2024)

Image Neural Field Diffusion Models
by: Chen, Yinbo, et al.
Published: (2024)

R-Meshfusion: Reinforcement Learning Powered Sparse-View Mesh Reconstruction with Diffusion Priors
by: Wang, Haoyang, et al.
Published: (2025)

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction
by: Xie, Xin, et al.
Published: (2025)

PWD: Prior-Guided and Wavelet-Enhanced Diffusion Model for Limited-Angle CT
by: Liu, Yi, et al.
Published: (2025)

DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models
by: Geng, Mengxiao, et al.
Published: (2024)

Meta-information Guided Cross-domain Synergistic Diffusion Model for Low-dose PET Reconstruction
by: Geng, Mengxiao, et al.
Published: (2025)

Sub-DM:Subspace Diffusion Model with Orthogonal Decomposition for MRI Reconstruction
by: Guan, Yu, et al.
Published: (2024)

Diffusion Model Regularized Implicit Neural Representation for CT Metal Artifact Reduction
by: Wen, Jie, et al.
Published: (2025)

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
by: Wu, Chenxu, et al.
Published: (2025)

PixNerd: Pixel Neural Field Diffusion
by: Wang, Shuai, et al.
Published: (2025)

Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction
by: Cai, Qinrong, et al.
Published: (2025)

Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data
by: Wang, Yuang, et al.
Published: (2025)

FrequencyCT: Frequency Domain Self-supervised Low-dose CT Denoising
by: Wei, Guoquan, et al.
Published: (2026)

DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement
by: Liao, Jia-Wei, et al.
Published: (2024)