:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lo, Kyle Shih-Huang, Peters, Jörg, Spellman, Eric
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	https://arxiv.org/abs/2404.09290
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GSURE-Based Diffusion Model Training with Corrupted Data
by: Kawar, Bahjat, et al.
Published: (2023)

Generative AI Enables Structural Brain Network Construction from fMRI via Symmetric Diffusion Learning
by: Zuo, Qiankun, et al.
Published: (2023)

Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data
by: Wang, An, et al.
Published: (2024)

Enhancing Diffusion-Weighted Images (DWI) for Diffusion MRI: Is it Enough without Non-Diffusion-Weighted B=0 Reference?
by: Wu, Yinzhe, et al.
Published: (2025)

DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds
by: Zhang, Xiaoge, et al.
Published: (2024)

TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation
by: Liu, Jiuming, et al.
Published: (2025)

Diffusion-based Data Augmentation for Nuclei Image Segmentation
by: Yu, Xinyi, et al.
Published: (2023)

Let There Be Light: Robust Lensless Imaging Under External Illumination With Deep Learning
by: Bezzam, Eric, et al.
Published: (2024)

Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
by: Lu, Shao-Hao, et al.
Published: (2025)

Tau Anomaly Detection in PET Imaging via Bilateral-Guided Deterministic Diffusion Model
by: Zhong, Lujia, et al.
Published: (2024)

MultiViT2: A Data-augmented Multimodal Neuroimaging Prediction Framework via Latent Diffusion Model
by: Yuda, Bi, et al.
Published: (2025)

Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking
by: Guo, Qianyu, et al.
Published: (2024)

When Diffusion MRI Meets Diffusion Model: A Novel Deep Generative Model for Diffusion MRI Generation
by: Zhu, Xi, et al.
Published: (2024)

Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction
by: Sanda, Rohan, et al.
Published: (2025)

Diffusion-Based User-Guided Data Augmentation for Coronary Stenosis Detection
by: Seo, Sumin, et al.
Published: (2025)

Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning
by: Qiao, Zhi, et al.
Published: (2024)

Fast Inference in Denoising Diffusion Models via MMD Finetuning
by: Aiello, Emanuele, et al.
Published: (2023)

COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation
by: Zhang, Ziyuan, et al.
Published: (2024)

Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion
by: Wang, Hao, et al.
Published: (2025)

StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining
by: Kataria, Tushar, et al.
Published: (2024)

DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
by: Xie, Xing, et al.
Published: (2025)

Diffusion Model-based Data Augmentation Method for Fetal Head Ultrasound Segmentation
by: Wang, Fangyijie, et al.
Published: (2025)

Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis
by: Zhang, Juanhua, et al.
Published: (2024)

RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusion
by: Li, Zhiyuan, et al.
Published: (2024)

Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models
by: Chen, Tingxiu, et al.
Published: (2025)

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

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation
by: Ran, Yi, et al.
Published: (2024)

Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models
by: Xiao, Jun, et al.
Published: (2024)

Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI
by: Qiu, Shihan, et al.
Published: (2024)

Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI
by: Qiu, Shihan, et al.
Published: (2024)

RelA-Diffusion: Relativistic Adversarial Diffusion for Multi-Tracer PET Synthesis from Multi-Sequence MRI
by: Yu, Minhui, et al.
Published: (2026)

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

AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation
by: Xie, Rui, et al.
Published: (2024)

A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression
by: Du, Zhenyu, et al.
Published: (2026)

Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
by: Huang, Shaoguang, et al.
Published: (2024)

Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence
by: Qian, Chen, et al.
Published: (2022)

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

Degradation-Consistent Learning via Bidirectional Diffusion for Low-Light Image Enhancement
by: He, Jinhong, et al.
Published: (2025)

Accelerating Diffusion for SAR-to-Optical Image Translation via Adversarial Consistency Distillation
by: Bai, Xinyu, et al.
Published: (2024)

DiffPR: Diffusion-Based Phase Reconstruction via Frequency-Decoupled Learning
by: Zhang, Yi
Published: (2025)