Diffusion Models: A Comprehensive Survey of Methods and Applications

Cited by (1,004)

Items 401–500 of 1,004

  1. SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction
    Yuan Li, Zhihao Liu, Bedřich Beneš, Xiaopeng Zhang, Jianwei Guo · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  2. Offloading and Quality Control for AI Generated Content Services in 6G Mobile Edge Computing Networks
    Yitong Wang, Chang Liu, Jun Zhao · 2024 · IEEE Vehicular Technology Conference
  3. ReMiND: Recovery of missing neuroimaging using diffusion models with application to Alzheimer’s disease
    Chenxi Yuan, Jinhao Duan, Nicholas James Tustison, Kaidi Xu, Rebecca A. Hubbard, Kristin A. Linn · 2024 · Imaging Neuroscience
  4. Bayesian enhanced graph neural networks: Refining design spaces for hollow concrete components with optimum mechanical performance
    Alexander Lin, Hanmo Wang, Wei He, Shawn Owyong, Huan Ting Chen, Tam H. Nguyen · 2025 · Engineering Structures
  5. Spatio-Temporal Energy-Guided Diffusion Model for Zero-Shot Video Synthesis and Editing
    Ling Qiang Yang, Yikai Zhao, Zhaochen Yu, Bohan Zeng, Minkai Xu, Shenda Hong, Bin Cui · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
  6. Distilling Wisdom: A Review on Optimizing Learning From Massive Language Models
    Dingzong Zhang, Devi Listiyani, Priyanka Singh, Manoranjan Mohanty · 2025 · IEEE Access
  7. IPAD: Iterative, Parallel, and Diffusion-Based Network for Scene Text Recognition
    Xiaomeng Yang, Zhi Qiang Qiao, Yu Zhou · 2025 · International Journal of Computer Vision
  8. Location-guided lesions representation learning via image generation for assessing plant leaf diseases severity
    Ya Yu, Xingcai Wu, Peijia Yu, Qiaoling Wan, Yujiao Dan, Yuanyuan Xiao, Qi Wang · 2025 · Plant Phenomics
  9. Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models
    Luciano Baresi, Davide Yi Xian Hu, Andrea Stocco, Paolo Tonella · 2025 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
  10. Score-based diffusion models via stochastic differential equations
    Wenpin Tang, Hanyang Zhao · 2025 · Statistics Surveys
  11. Dual Conditional Diffusion for Sequential Recommendation
    Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Song Hu, Julian McAuley, Lina Yao · 2026 · ACM International Conference on Web Search and Data Mining (WSDM)
  12. Score-based denoising for atomic structure identification
    Tim Hsu, Babak Sadigh, Nicolas Bertin, Cheol Woo Park, James Chapman, Vasily V. Bulatov, Fei Zhou · 2024 · npj Computational Materials
  13. Semantic Prior Aided Channel-Adaptive Equalizing and De-Noising Semantic Communication System With Latent Diffusion Model
    Bingxuan Xu, Shujun Han, Xiaodong Xu, Weizhi Li, Rui Meng, Chen Dong, Ping Zhang · 2025 · IEEE Transactions on Wireless Communications
  14. Generative Artificial Intelligence: Applications and Future Prospects in Dentistry
    Zhiyuan Ma, Chenlin Du, Qicheng Lao, Xianju Xie · 2025 · International Dental Journal
  15. Diffusion Models and Its Applications in Image Dehazing: A Survey
    Liangyu Zhu, Yanzhao Su, Zhigao Cui, Yunwei Lan, Nian Wang, Lanqing Zhang, Yanping Cai · 2026 · IET Image Processing
  16. Combinediff: a GenAI creative support tool for image combination exploration
    Zhouyang Wang, Zhengyu Tan, Yujia Ma · 2024 · Journal of Engineering Design
  17. Turbulence scaling from deep learning diffusion generative models
    Tim Whittaker, Romuald A. Janik, Yaron Oz · 2024 · Journal of Computational Physics
  18. Reconstructing representations using diffusion models for multimodal sentiment analysis through reading comprehension
    Hua Zhang, Yongjian Yan, Zijing Cai, Peiqian Zhan, Bi Yu Chen, Bo Jiang, Bo Xie · 2024 · Applied Soft Computing
  19. Word2Scene: Efficient remote sensing image scene generation with only one word via hybrid intelligence and low-rank representation
    Jiaxin Ren, Wanzeng Liu, Jun Chen, Shunxi Yin, Yuan Tao · 2024 · ISPRS Journal of Photogrammetry and Remote Sensing
  20. DDM-Lag: A Diffusion-Based Decision-Making Model for Autonomous Vehicles With Lagrangian Safety Enhancement
    Jiaqi Liu, Peng Hang, Xiaocong Zhao, Jianqiang Wang, Jian Sun · 2024 · IEEE Transactions on Artificial Intelligence
  21. Towards virtual sample generation with various data conditions: A comprehensive review
    Yi Jiang, Xiaoyuan Ma, Xiong Li · 2024 · Information Fusion
  22. Ground-Penetrating Radar Inversion via Steady-State Diffusion Processes
    Meijia Huang, Yonghao Wang, Yanqi Wu, Zhuo Jia · 2024 · IEEE Transactions on Geoscience and Remote Sensing
  23. EDDM: A Novel ECG Denoising Method Using Dual-Path Diffusion Model
    Zhiyuan Li, Yuanyuan Tian, Yanrui Jin, Xiaoyang Wei, Mengxiao Wang, Jinlei Liu, Chengliang Liu · 2025 · IEEE Transactions on Instrumentation and Measurement
  24. A definition and taxonomy of digital twins: case studies with machine learning and scientific applications
    Adam Weingram, Carolyn Cui, Stephanie Lin, Samuel Munoz, Toby Jacob, Joshua H. Viers, Xiaoyi Lu · 2025 · Frontiers in High Performance Computing
  25. Towards AI-driven Sign Language Generation with Non-manual Markers
    Han Zhang, Rotem Shalev-Arkushin, Vasileios Baltatzis, Connor Gillis, Gierad Laput, Raja Kushalnagar, Lorna C. Quandt, Leah Findlater, Abdelkareem Bedri, Colin Lea · 2025 · CHI Conference on Human Factors in Computing Systems
  26. Zero-Shot Paragraph-level Handwriting Imitation with Latent Diffusion Models
    Martin Mayr, Marcel Dreier, Florian Kordon, Mathias Seuret, Jochen Zöllner, Fei Wu, Andreas Maier, Vincent Christlein · 2025 · International Journal of Computer Vision
  27. SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting
    Lequan Lin, Dai Shi, Andi Han, Junbin Gao · 2025 · International Joint Conference on Neural Networks (IJCNN)
  28. An intelligent generative method of fashion design combining attribute knowledge and Stable Diffusion Model
    Yumiao Chen, Jingyi Ma · 2024 · Textile Research Journal
  29. Machine Learning Transition State Geometries and Applications in Reaction Property Prediction
    Isaac W. Beaglehole, Miles J. Pemberton, Elliot H. E. Farrar, Matthew N. Grayson · 2025 · Wiley Interdisciplinary Reviews Computational Molecular Science
  30. Diffusion-Based Surrogate Modeling and Multi-Fidelity Calibration
    Naichen Shi, Hao Yan, Shenghan Guo, Raed Al Kontar · 2025 · IEEE Transactions on Automation Science and Engineering
  31. Video diffusion generation: comprehensive review and open problems
    Wenping Ma, Xiaoting Yang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Puhua Chen, Yuting Yang, Mengru Ma, Long Sun et al. · 2025 · Artificial Intelligence Review
  32. Deep-Learning-Empowered Super Resolution: A Comprehensive Survey and Future Prospects
    Le Zhang, Ao Li, Qibin Hou, Ce Zhu, Yonina C. Eldar · 2025 · Proceedings of the IEEE
  33. A novel probabilistic wind power forecasting framework integrating similar curve matching mechanism and an enhanced conditional diffusion model
    Yuan Gao, Sile Hu, Yahui Chen, Muhammad Farhan Khan, Xiaolei Cheng, Jiaqiang Yang · 2025 · Applied Energy
  34. Posterior sampling with convolutional neural network-based plug-and-play regularization with applications to poststack seismic inversion
    Muhammad Izzatullah, Tariq A. Alkhalifah, Juan Romero, Miguel Corrales, Nick Luiken, Matteo Ravasi · 2023 · Geophysics
  35. Improving multi-focus image fusion through Noisy image and feature difference network
    Xin Pan, Hao Zhai, You-Fu Yang, Lianhua Chen, Anyu Li · 2023 · Image and Vision Computing
  36. DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability
    Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  37. A Survey of Text-to-Image Diffusion Models in Generative AI
    Siddharth Kandwal, Vibha Nehra · 2024 · International Conference on Cloud Computing, Data Science & Engineering (Confluence)
  38. A Diffusion Model-Assisted Multiscale Spectral Attention Network for Hyperspectral Image Super-Resolution
    Kaiqi He, Yiheng Cai, Shengjun Peng, Meiling Tan · 2024 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  39. Human Image Generation: A Comprehensive Survey
    Zhen Jia, Zhang Zhang, Liang Wang, Tieniu Tan · 2024 · ACM Computing Surveys
  40. Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
    Fei Ye, Adrian G. Borş · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  41. Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation
    Junyan Wang, Zhenhong Sun, Zhiyu Tan, Xuanbai Chen, Wei‐Hua Chen, Hao Li, Cheng Zhang, Yang Song · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  42. Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
    Yang Zhang, Teoh Tze Tzun, Lim Wei Hern, Kenji Kawaguchi · 2024 · Lecture notes in computer science
  43. cDVAE: VAE-guided diffusion for particle accelerator beam 6D phase space projection diagnostics
    Alexander Scheinker · 2024 · Scientific Reports
  44. Fairness in Search Systems
    Fang Yi, Ashudeep Singh, Zhiqiang Tao · 2024 · Foundations and Trends® in Information Retrieval
  45. A mask guided cross data augmentation method for industrial defect detection
    Xubin Wang, Wenju Li, Chang Hua Lu · 2024 · Future Generation Computer Systems
  46. Multiscale Features Integrated Model for Generalizable Deepfake Detection
    Siqi Gu, Zihan Qin, Lizhe Xie, Zheng Wang, Yining Hu · 2025 · International Journal of Intelligent Systems
  47. Unlocking robotic perception: comparison of deep learning methods for simultaneous localization and mapping and visual simultaneous localization and mapping in robot
    Minh Long Hoang · 2025 · International Journal of Intelligent Robotics and Applications
  48. Enhancing High-Degree-of-Freedom Meta-Atom Design Precision and Speed with a Tandem Generative Network
    Haolan Yang, Chuanchuan Yang, Hongbin Li · 2025 · ACS Photonics
  49. Causality-based Big Data Analysis of Information Cascade in Communication Networks
    Yuming Han, Ziyi Zhang, Diya Li, Jianbo Du · 2024 · Globecom
  50. Diffusion Models and Generative Artificial Intelligence: Frameworks, Applications and Challenges
    Pranjal Kumar · 2025 · Archives of Computational Methods in Engineering
  51. DiffMesh: A Motion-Aware Diffusion Framework for Human Mesh Recovery from Videos
    Ce Zheng, Xianpeng Liu, Qucheng Peng, Tianfu Wu, Pu Wang, Chen Chen · 2025 · IEEE Winter Conference on Applications of Computer Vision
  52. Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation
    Sanyam Lakhanpal, Shivang Chopra, Vinija Jain, Aman R. Chadha, Man Luo · 2025 · IEEE Winter Conference on Applications of Computer Vision
  53. Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA
    Qika Lin, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng · 2025 · IEEE Transactions on Image Processing
  54. Vocal performance evaluation of the intelligent note recognition method based on deep learning
    Dongyun Chang · 2025 · Scientific Reports
  55. Adversarial regularized diffusion model for fair recommendations
    Ran Yang, Yihao Zhang, Kaibei Li, Qinyang He, Xiaokang Li, Wei Guo Zhou · 2025 · Neural Networks
  56. DiffDesign: Controllable diffusion with meta prior for efficient interior design generation
    Yuxuan Yang, Yuxuan Yang, Tongyu Geng, Wenwen Qiang, Changwen Zheng, Fuchun Sun · 2025 · PLoS ONE
  57. PromptNavi: Text-to-image generation through interactive prompt visual exploration
    Bofei Huang, Haoran Xie · 2025 · Computers & Graphics
  58. Efficient 3D Molecular Design with an E(3) Invariant Transformer VAE
    Orion Dollar, Nisarg Joshi, Jim Pfaendtner, David A. C. Beck · 2023 · The Journal of Physical Chemistry A
  59. MDM: Meta diffusion model for hard-constrained text generation
    Wenjun Ke, Yikai Guo, Qi Liu, Wanyi Chen, Peng Wang, Haoran Luo, Zhizhao Luo · 2023 · Knowledge-Based Systems
  60. LMD: Faster Image Reconstruction with Latent Masking Diffusion
    Zhiyuan Ma, Zhihuan Yu, Jianjun Li, Bowen Zhou · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  61. Synthesizing affective neurophysiological signals using generative models: A review paper
    Alireza Farrokhi Nia, Vanessa Tang, Gonzalo D. Maso Talou, Mark Billinghurst · 2024 · Journal of Neuroscience Methods
  62. Fourier Diffusion Models: A Method to Control MTF and NPS in Score-Based Stochastic Image Generation
    Matthew Tivnan, Jacopo Teneggi, Tzu-Cheng Lee, Ruoqiao Zhang, Kirsten Boedeker, Liang Cai, Grace J. Gang, Jeremias Sulam, Joseph Webster Stayman · 2025 · IEEE Transactions on Medical Imaging
  63. Machine Learning-based Reduced-Order Model and multi-fidelity approaches for field reconstruction in CFD: A review
    Haibin Wu, Xiaojing Wang, Wei Su, Suli Yang, Zhengyang Li · 2025 · Chemical Engineering Science
  64. Generative Image Reconstruction From Gradients
    Ekanut Sotthiwat, Liangli Zhen, Chi Zhang, Zengxiang Li, Rick Siow Mong Goh · 2024 · IEEE Transactions on Neural Networks and Learning Systems
  65. UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-Scale Generation and Registration Enhancement
    Ruiquan Ge, Zhaojie Fang, Pengxue Wei, Zhanghao Chen, Hongyang Jiang, Ahmed Elazab, Wangting Li, Xiang Wan, Shaochong Zhang, Changmiao Wang · 2024 · IEEE Journal of Biomedical and Health Informatics
  66. Sketch-Guided Text-to-Image Generation with Spatial Control
    Tianyu Zhang, Haoran Xie · 2024 · International Conference on Computer Graphics and Image Processing (CGIP)
  67. New Communicative Language Teaching Methods: How ChatGPT is Used in English Teaching and Its Impacts
    Zhongyu Zhang · 2024 · Journal of Education Humanities and Social Sciences
  68. DGGI: Deep Generative Gradient Inversion with diffusion model
    Liwen Wu, Zhizhi Liu, Bin Pu, Kang Wei, Hangcheng Cao, Shaowen Yao · 2024 · Information Fusion
  69. Investigating on thermal insulation in concrete partition wall with insulation-material-infilled Voronoi sections: Feature impact analysis and efficient assessment approach
    Hanmo Wang, Shawn Owyong, Anqi Shi, Sunmi Shin, Tam H. Nguyen, Alexander Lin · 2024 · Journal of Building Engineering
  70. InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion
    Jihyun Lee, Shunsuke Saito, Giljoo Nam, Minhyuk Sung, Taekyun Kim · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  71. A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging
    Siyuan Dong, Zhuotong Cai, Gilbert J. Hangel, Wolfgang Bogner, Georg Widhalm, Yaqing Huang, Qinghao Liang, Chenyu You, Chathura Kumaragamage, Robert K. Fulbright et al. · 2024 · Medical Image Analysis
  72. Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks
    Mohamed Fathallah, Sherif El-etriby, Maazen Alsabaan, Mohamed I. Ibrahem, Gamal Farok · 2024 · Sensors
  73. Deep Analogical Generative Design and Evaluation: Integration of Stable Diffusion and LoRA
    Yumiao Chen, Huanhuan Ruan · 2024 · Journal of Mechanical Design
  74. Enhancing signal-to-noise ratio in real-time LED-based photoacoustic imaging: A comparative study of CNN-based deep learning architectures
    Avijit Paul, Srivalleesha Mallidi · 2024 · Photoacoustics
  75. Parallel implementation and performance of super-resolution generative adversarial network turbulence models for large-eddy simulation
    Ludovico Nista, Christoph Schumann, P. Petkov, Valentin Pavlov, Temistocle Grenga, Jonathan F. MacArt, Antonio Attili, Stoyan Stefanov Markov, Heinz G. Pitsch · 2024 · Computers & Fluids
  76. Riemannian Flow Matching Policy for Robot Motion Learning
    Max Braun, Noémie Jaquier, Leonel Dario Rozo, Tamim Asfour · 2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  77. A Diffusion-Based Detection Model for Accurate Soybean Disease Identification in Smart Agricultural Environments
    Jiaxin Yin, Weixia Li, Jun-Hong Shen, Chaoyu Zhou, Siqi Li, Jingchao Suo, Jujing Yang, Ruiqi Jia, Chunli Lv · 2025 · Plants
  78. Advances in high-pressure materials discovery enabled by machine learning
    Zhenyu Wang, Xiaoshan Luo, Qingchang Wang, Heng Ge, Pengyue Gao, Wei Zhang, Jian Lv, Yanchao Wang · 2025 · Matter and Radiation at Extremes
  79. Human-AI cooperative generative adversarial network (GAN) for quality predictions of small-batch product series
    Chun-Hua Chien, Amy J.C. Trappey · 2025 · Advanced Engineering Informatics
  80. Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images
    Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica R. Hullman, Matthew Groh · 2025 · CHI Conference on Human Factors in Computing Systems
  81. Enhancing the communication reliability for generative image steganography with diffusion model
    Mingliang Zhang, Xiangyang Luo, Pei Zhang, Yanmei Liu, Yi Zhang · 2025 · Information Processing & Management
  82. Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey
    Genta Indra Winata, Hanyang Zhao, Anirban Das, Wenpin Tang, David D. W. Yao, Shi-Xiong Zhang, Sambit Sahu · 2025 · Journal of Artificial Intelligence Research
  83. A Learning Framework for Atomic-Level Polymer Structure Generation
    Ayush Jain, Ashutosh Srivastava, Rampi Ramprasad · 2025 · Chemistry of Materials
  84. Industrial Anomaly Detection Based on Improved Diffusion Model: A Review
    Jiahui Wang, Zidong Wang, Chuanbo Wen, Weibo Liu, Xiaohui Liu, Dong Wang · 2025 · Cognitive Computation
  85. Look ATME: The Discriminator Mean Entropy Needs Attention
    E. Solano‐Carrillo, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Yannik Steiniger, Jannis Stoppe · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  86. Efficient ray sampling for radiance fields reconstruction
    Shilei Sun, Ming Liu, Zhongyi Fan, Qingliang Jiao, Yuxue Liu, Liquan Dong, Lingqin Kong · 2023 · Computers & Graphics
  87. Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models
    Weikang Yu, Yonghao Xu, Pedram Ghamisi · 2024 · International Journal of Applied Earth Observation and Geoinformation
  88. Federated learning (FL)-driven real-time decision support for intraoperative cardiovascular surgery: A privacy-preserving AI framework
    Radhakrishnan Kanthavel, Ramakrishnan Dhaya · 2025 · Innovation and Emerging Technologies
  89. EchoAI: A deep-learning based model for classification of echinoderms in global oceans
    Zhinuo Zhou, Ge‐Yi Fu, Yi Fang, Ye Yuan, Hong‐Bin Shen, Chunsheng Wang, Xue‐Wei Xu, Peng Zhou, Xiaoyong Pan · 2023 · Frontiers in Marine Science
  90. Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper
    Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall’Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco et al. · 2023 · Forum on specification and Design Languages
  91. PROUD: PaRetO-gUided diffusion model for multi-objective generation
    Yinghua Yao, Yuangang Pan, Jing Li, Ivor Wai-Hung Tsang, Xin Yao · 2024 · Machine Learning
  92. A Review of Optimization-Based Deep Learning Models for MRI Reconstruction
    Wanyu Bian, Yokhesh Krishnasamy Tamilselvam · 2024 · AppliedMath
  93. Safe operations of a reach stacker by computer vision in an automated container terminal
    Truong Ngoc Cuong, Sam–Sang You, Gyu-Sung Cho, Bulim Choi, Hwan–Seong Kim, Ngo Quang Vinh, Jeong-Hum Yeon · 2024 · Alexandria Engineering Journal
  94. Generative AI model trained by molecular dynamics for rapid mechanical design of architected graphene
    Milad Masrouri, Kamalendu Paul, Zhao Qin A · 2024 · Extreme Mechanics Letters
  95. Trans-Diff: Heterogeneous Domain Adaptation for Remote Sensing Segmentation With Transfer Diffusion
    Yu-Kyung Kang, Jie Wu, Qiang Liu, Jun Yue, Leyuan Fang · 2024 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  96. Diffusion-driven Incomplete Multimodal Learning for Air Quality Prediction
    Jinxiao Fan, Mengshi Qi, Liang Liu, Huadóng Ma · 2024 · ACM Transactions on Internet of Things
  97. ParaDC: Parallel-learning-based dynamometer cards augmentation with diffusion models in sucker rod pump systems
    Xingxia Wang, Yuhang Liu, Xiang Cheng, Yutong Wang, Yonglin Tian, Fei–Yue Wang · 2024 · Neurocomputing
  98. Real-time detection of road surface friction coefficient: A new framework integrating diffusion model and Transformer in Transformer algorithms
    Zhangcun Yan, Lishengsa Yue, Wang Luo, Jian Sun · 2024 · Alexandria Engineering Journal
  99. A generative modeling approach to reconstructing 21 cm tomographic data
    Nashwan Sabti, Ram Purandhar Reddy Sudha, Julián B. Muñoz, Siddharth Mishra-Sharma, Taewook Youn · 2025 · Machine Learning Science and Technology
  100. CIDM: A comprehensive inpainting diffusion model for missing weather radar data with knowledge guidance
    Wei Zhang, Xinyu Zhang, Junyu Dong, Xiaojiang Song, Renbo Pang · 2025 · ISPRS Journal of Photogrammetry and Remote Sensing