:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Geng, Mengxiao, Chen, Zijie, Hong, Ran, Li, Bingxuan, Liu, Qiegen
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2602.11653
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting
di: Zhang, Junyan, et al.
Pubblicazione: (2025)

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

st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction
di: Hong, Ran, et al.
Pubblicazione: (2024)

ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain
di: Huang, Bin, et al.
Pubblicazione: (2025)

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

Iterative Diffusion-Refined Neural Attenuation Fields for Multi-Source Stationary CT Reconstruction: NAF Meets Diffusion Model
di: Fang, Jiancheng, et al.
Pubblicazione: (2025)

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

A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion
di: Chen, Fang, et al.
Pubblicazione: (2025)

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

3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising
di: Jing, Peiyuan, et al.
Pubblicazione: (2026)

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

MAP-Diff: Multi-Anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising
di: Jing, Peiyuan, et al.
Pubblicazione: (2026)

Expressive Whole-Body 3D Gaussian Avatar
di: Moon, Gyeongsik, et al.
Pubblicazione: (2024)

PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
di: Samet, Nermin, et al.
Pubblicazione: (2024)

PET Tracer Separation Using Conditional Diffusion Transformer with Multi-latent Space Learning
di: Huang, Bin, et al.
Pubblicazione: (2025)

Adaptive Whole-Body PET Image Denoising Using 3D Diffusion Models with ControlNet
di: Yu, Boxiao, et al.
Pubblicazione: (2024)

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

Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising
di: Zhou, Yinchi, et al.
Pubblicazione: (2025)

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

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

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

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

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

Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models
di: Yang, Zeyu, et al.
Pubblicazione: (2024)

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction
di: Webber, George, et al.
Pubblicazione: (2025)

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

GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction
di: Mu, Yuxuan, et al.
Pubblicazione: (2024)

GaussianBody: Clothed Human Reconstruction via 3d Gaussian Splatting
di: Li, Mengtian, et al.
Pubblicazione: (2024)

Medical Scene Reconstruction and Segmentation based on 3D Gaussian Representation
di: Liu, Bin, et al.
Pubblicazione: (2025)

Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model
di: Xie, Taofeng, et al.
Pubblicazione: (2024)

GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
di: Li, Xinhai, et al.
Pubblicazione: (2023)

Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
di: Yang, Zeyu, et al.
Pubblicazione: (2023)

Image-GS: Content-Adaptive Image Representation via 2D Gaussians
di: Zhang, Yunxiang, et al.
Pubblicazione: (2024)

KineDiff3D: Kinematic-Aware Diffusion for Category-Level Articulated Object Shape Reconstruction and Generation
di: Xu, WenBo, et al.
Pubblicazione: (2025)

Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction
di: Xie, Taofeng, et al.
Pubblicazione: (2023)

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