:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Nagler, Laurenz, Zach, Martin, Pock, Thomas
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2605.10629
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Product of Gaussian Mixture Diffusion Model for non-linear MRI Inversion
di: Nagler, Laurenz, et al.
Pubblicazione: (2025)

GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring
di: Santellani, Emanuele, et al.
Pubblicazione: (2024)

Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction
di: Safari, Mojtaba, et al.
Pubblicazione: (2024)

The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems
di: Kuric, Muhamed, et al.
Pubblicazione: (2025)

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

Product of Gaussian Mixture Diffusion Models
di: Zach, Martin, et al.
Pubblicazione: (2023)

Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient
di: Lu, Weiguo, et al.
Pubblicazione: (2024)

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

Is Hierarchical Quantization Essential for Optimal Reconstruction?
di: Reyhanian, Shirin, et al.
Pubblicazione: (2026)

FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms
di: Bogensperger, Lea, et al.
Pubblicazione: (2024)

An Efficient 3D Latent Diffusion Model for T1-contrast Enhanced MRI Generation
di: Eidex, Zach, et al.
Pubblicazione: (2025)

Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition
di: Ilic, Filip, et al.
Pubblicazione: (2024)

From NeRFs to Gaussian Splats, and Back
di: He, Siming, et al.
Pubblicazione: (2024)

Self-Supervised Slice-to-Volume Reconstruction with Gaussian Representations for Fetal MRI
di: Wang, Yinsong, et al.
Pubblicazione: (2026)

Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
di: Korkmaz, Yilmaz, et al.
Pubblicazione: (2023)

M-Gaussian: An Magnetic Gaussian Framework for Efficient Multi-Stack MRI Reconstruction
di: Zheng, Kangyuan, et al.
Pubblicazione: (2026)

Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models
di: Hsueh, Hao-Chien, et al.
Pubblicazione: (2025)

JOintGS: Joint Optimization of Cameras, Bodies and 3D Gaussians for In-the-Wild Monocular Reconstruction
di: Lou, Zihan, et al.
Pubblicazione: (2026)

Gaussian Mixture Flow Matching Models
di: Chen, Hansheng, et al.
Pubblicazione: (2025)

Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

Efficient Learning of Convolution Weights as Gaussian Mixture Model Posteriors
di: Liang, Lifan
Pubblicazione: (2024)

Performance of Gaussian Mixture Model Classifiers on Embedded Feature Spaces
di: Chopin, Jeremy, et al.
Pubblicazione: (2024)

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

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

Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective
di: Liang, Yingyu, et al.
Pubblicazione: (2024)

OMeGa: Joint Optimization of Explicit Meshes and Gaussian Splats for Robust Scene-Level Surface Reconstruction
di: Cao, Yuhang, et al.
Pubblicazione: (2025)

Joint Supervised and Self-supervised Learning for MRI Reconstruction
di: Yiasemis, George, et al.
Pubblicazione: (2023)

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
di: Wang, Yixiao, et al.
Pubblicazione: (2024)

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

VidSplat: Gaussian Splatting Reconstruction with Geometry-Guided Video Diffusion Priors
di: Tang, Jimin, et al.
Pubblicazione: (2026)

UV Gaussians: Joint Learning of Mesh Deformation and Gaussian Textures for Human Avatar Modeling
di: Jiang, Yujiao, et al.
Pubblicazione: (2024)

A Self-supervised Diffusion Bridge for MRI Reconstruction
di: Gao, Harry, et al.
Pubblicazione: (2025)

Joint Geometry-Appearance Human Reconstruction in a Unified Latent Space via Bridge Diffusion
di: Tang, Yingzhi, et al.
Pubblicazione: (2026)

GeoRelight: Learning Joint Geometrical Relighting and Reconstruction with Flexible Multi-Modal Diffusion Transformers
di: Xue, Yuxuan, et al.
Pubblicazione: (2026)

RT-Splatting: Joint Reflection-Transmission Modeling with Gaussian Splatting
di: Shi, Ji, et al.
Pubblicazione: (2026)

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
di: Cui, Zhuo-Xu, et al.
Pubblicazione: (2023)

JRM: Joint Reconstruction Model for Multiple Objects without Alignment
di: Wu, Qirui, et al.
Pubblicazione: (2026)

GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
di: Xu, Yinghao, et al.
Pubblicazione: (2024)

PointTransformerX: Portable and Efficient 3D Point Cloud Processing without Sparse Algorithms
di: Reichardt, Laurenz, et al.
Pubblicazione: (2026)

Time-Inhomogeneous Preconditioned Langevin Dynamics
di: Falk, Alexander, et al.
Pubblicazione: (2026)