Search Results - "Probabilistic generative models"

CA-DDPM: Conditionally Embedded Attention-Aided Denoising Diffusion Probabilistic Model for High-Quality SAR Image Generation.

Authors: Zheng, Yang Liu, Duhao Li, Ruimin et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p1994. 24p.

Subjects: Synthetic aperture radar, Probabilistic generative models, Generative adversarial networks, Automatic target recognition, Data augmentation, Image quality in imaging systems, Deep learning

Probabilistic Forecast of Tropical Cyclone Precipitation Based on Diffusion Model.

Authors: Du, Pengfei Luo, Jing-Jia Lin, Xianxuan et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 11, p1786. 30p.

Subjects: Probabilistic generative models, Forecasting, Encoding, Emergency management, Deep learning, Tropical cyclones, Measurement uncertainty (Statistics)

A Review on Super-Resolution Reconstruction of Single-Frame Remote Sensing Images via Diffusion Models.

Authors: Cao, Haoran Tan, Zheng Zhu, Baoyu et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 11, p1702. 36p.

Subjects: Remote-sensing images, Probabilistic generative models, Research methodology, High resolution imaging, Benchmark problems (Computer science), Algorithms, Image reconstruction

Forest Disturbance Classification Under Imbalanced and Small-Sample Conditions Based on Collaborative Semi-Supervised Learning and Sample Generation.

Authors: Liu, Yudan Zhao, Yuxin Yan, Yan et al.

Source: Remote Sensing. May2026, Vol. 18 Issue 10, p1579. 22p.

Subjects: Data augmentation, Probabilistic generative models, Machine learning, Data distribution, Remote sensing, Supervised learning

X‐Gen: Synergizing Extended LSTM and Generative Diffusion for Cognition‐Aware Motion Forecasting.

Authors: Liu, Liu Xu, Zhifei Murray, Richard

Source: International Journal of Intelligent Systems. 6/3/2026, Vol. 2026, p1-14. 14p.

Subjects: Long short-term memory, Probabilistic generative models, Knowledge representation (Information theory), Machine learning, Autonomous vehicles

Memory-Augmented Hierarchical Perception for Domain-Generalized Medical Image Segmentation.

Authors: Mi, Yingna Shi, Meihui Yang, Ruiling et al.

Source: Engineering Letters. Jun2026, Vol. 34 Issue 6, p2285-2295. 11p.

Subjects: Image segmentation, Probabilistic generative models, Machine learning

CoDC: Unified Diffusion and Classification for Enhanced Class-Incremental Learning.

Authors: Chen, Junli Wen, Jianming Wang, Sijin et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6035, 21p

On the generalization limits of quantum generative adversarial networks with pure state generators.

Authors: Frkatovic, Jasmin Malemath, Akash Kankeu, Ivan et al.

Source: Scientific Reports. 6/9/2026, Vol. 16 Issue 1, p1-11. 11p.

AI for Garden Design Visualization: Development and Validation of the GardenDiff Model.

Authors: Sun, Xiaolong Chen, Xi Zhou, Chao et al.

Source: Buildings (2075-5309); Jun2026, Vol. 16 Issue 11, p2195, 34p

The Role of Artificial Intelligence in Architecture and Interior Design.

Authors: Grabska, Ewa Janina Wen, Baohua

Source: Buildings (2075-5309); Jun2026, Vol. 16 Issue 11, p2106, 6p

Thermal Prediction for Efficient Management of Temperatures in System-in-Package (SiP) Using Machine Learning (ML).

Authors: Oukaira, Aziz Baba, Mhamed Filali Ettahri, Ouafaa et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 11, p5468, 32p

A Review of Multimodal Image Feature Fusion Technology and Application.

Authors: Cao, Pingping Zhao, Yuting Duan, Tao et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 11, p5290, 26p

Flow-Guided Mimicry Covert Communication over Learned Legitimate OFDM Signal Manifolds.

Authors: Feng, Qi Zhang, Junyi Li, Mingdi et al.

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 11, p3294. 25p.

Cross-Distribution Zero-Shot Learning Algorithm Based on Generative Model.

Authors: Wu, Yuting Guo, Ting Tian, Zhen

Source: Information. Jun2026, Vol. 17 Issue 6, p563. 22p.

The Impact of Generative Models on Robotic Innovation: A Survey Study.

Authors: Belghachi, Mohammed¹ (AUTHOR) belghachi.mohamed@univbechar.dz

Source: Journal of Automation, Mobile Robotics & Intelligent Systems. Jun2026, Vol. 20 Issue 2, p106-117. 12p.

3DAD: Super-Resolution Image Synthesis from Anisotropic CT Images Using a Three-Dimensional Adversarial Diffusion Model.

Authors: Lu, Jianliang Cheng, Ho Ming Fang, Benjamin Xin Hao et al.

Source: Bioengineering (Basel). Jun2026, Vol. 13 Issue 6, p595. 24p.

Well-Structured Visible–LWIR Image Fusion via Feature-Based Fusion and DDPM with Thermal Saturation Suppression.

Authors: Son, Dong-Min Lee, Sung-Hak

Source: Mathematics (2227-7390). Jun2026, Vol. 14 Issue 11, p1969. 54p.

DiT1dLnet: A Fast and Accurate Diffusion Model Structure Based on Robot Behavior Imitation.

Authors: Liao, Jiaxin He, Weiyuan Yu, Qing et al.

Source: Mathematics (2227-7390). Jun2026, Vol. 14 Issue 11, p1785. 20p.

Prior-Guided Diffusion Processes: A Unified Framework for Knowledge-Informed Generative Modeling with Theoretical Guarantees and Prognostic Case Studies.

Authors: Liu, Qing Di, Yanqiang Meng, Xianguo et al.

Source: Mathematical & Computational Applications. Jun2026, Vol. 31 Issue 3, p86. 25p.

A Unified Framework Based on Distribution Shift Modeling for Revealing and Eliminating Backdoor Attacks in Diffusion Models.

Authors: Yang, Kairui Gu, Xu An, Fanglin et al.

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p5077, 23p