Diffusion Models: A Comprehensive Survey of Methods and Applications

Yang, Ling, Zhang, Zhilong, Song, Yang, Hong, Shenda, Xu, Runsheng, Zhao, Yue, Zhang, Wentao, Cui, Bin +1 more·2024·ACM Computing Surveys

Cited by (1,004)

Items 101–200 of 1,004

  1. Controllable Generation With Text-to-Image Diffusion Models: A Survey
    Pu Cao, Feng Zhou, Qing Song, Lu Yang · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  2. A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative models
    Kang‐Hyun Lee, Hyoung Jun Lim, Gun Jin Yun · 2023 · Engineering Applications of Artificial Intelligence
  3. Integrating aesthetics and efficiency: AI-driven diffusion models for visually pleasing interior design generation
    Junming Chen, Zichun Shao, Xiaodong Zheng, Kai Zhang, Jun Yin · 2024 · Scientific Reports
  4. Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities
    Zhengjing Ma, Gang Mei, Nengxiong Xu · 2024 · Artificial Intelligence Review
  5. Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
    Lyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed · 2023 · Computer-Aided Design
  6. Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models
    Zhenyi Wang, Hongcai Zhang · 2024 · IEEE Transactions on Smart Grid
  7. ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
    Yuanshao Zhu, James J. Q. Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang · 2024 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  8. Few-shot aero-engine bearing fault diagnosis with denoising diffusion based data augmentation
    Zuowei Ping, Dewen Wang, Yong Zhang, Bo Ding, Yaqiong Duan, Wei Zhou · 2025 · Neurocomputing
  9. Generative models for protein sequence modeling: recent advances and future directions
    Mehrsa Mardikoraem, Zirui Wang, Nathaniel Pascual, Daniel Woldring · 2023 · Briefings in Bioinformatics
  10. A comprehensive survey for generative data augmentation
    Yunhao Chen, Zihui Yan, Yunjie Zhu · 2024 · Neurocomputing
  11. MAISI: Medical AI for Synthetic Imaging
    Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason J. Belue, Stephanie A. Harmon, Barış Türkbey et al. · 2025 · IEEE Winter Conference on Applications of Computer Vision
  12. ProT‐Diff: A Modularized and Efficient Strategy for De Novo Generation of Antimicrobial Peptide Sequences by Integrating Protein Language and Diffusion Models
    2024
  13. Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation
    Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Bo Peng, Hua Huang, Yang Xiang, Ting Ma · 2023 · IEEE International Symposium on Biomedical Imaging (ISBI)
  14. A Comprehensive Survey on Traffic Missing Data Imputation
    Yimei Zhang, Xiangjie Kong, Wenfeng Zhou, Jin Liu, Yanjie Fu, Guojiang Shen · 2024 · IEEE Transactions on Intelligent Transportation Systems
  15. Generative artificial intelligence based models optimization towards molecule design enhancement
    Tarek Khater, Sarah Awni Alkhatib, Aamna Al Shehhi, Charalampos Pitsalidis, Anna‐Maria Pappa, Sơn Tùng Ngô, Vincent Chan, Vi Khanh Truong · 2025 · Journal of Cheminformatics
  16. Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning
    Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su · 2023 · ACM International Conference on Multimedia (ACM MM)
  17. CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives
    Yiming Lei, Chuang Niu, Junping Zhang, Ge Wang, Hongming Shan · 2023 · IEEE Transactions on Radiation and Plasma Medical Sciences
  18. FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation
    Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou · 2024 · Information Fusion
  19. Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects
    Na Li, Chunyi Zhou, Yansong Gao, Hui Chen, Zhi Zhang, Boyu Kuang, Anmin Fu · 2025 · IEEE Transactions on Neural Networks and Learning Systems
  20. Semantic guided large scale factor remote sensing image super-resolution with generative diffusion prior
    Ce Wang, Wanjie Sun · 2024 · ISPRS Journal of Photogrammetry and Remote Sensing
  21. Generative Modeling, Design, and Analysis of Spider Silk Protein Sequences for Enhanced Mechanical Properties
    Wei Lu, David Lee Kaplan, Markus J. Buehler · 2023 · Advanced Functional Materials
  22. ITI-Gen: Inclusive Text-to-Image Generation
    Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  23. A Review of Deepfake Techniques: Architecture, Detection and Datasets
    Edwards, Peter, Nebel, Jean-Christophe, Greenhill, Darrel, Liang, Xing · 2024 · IEEE Access
  24. Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets
    Marzieh Esmaeili, Amirhosein Toosi, Arash Roshanpoor, Vahid Changizi, Marjan Ghazisaeedi, Arman Rahmim, Mohammad Sabokrou · 2023 · IEEE Access
  25. DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model
    Siyang Li, Hui Xiong, Yize Chen · 2024 · IEEE Transactions on Smart Grid
  26. A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
    Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu‐Ming Yiu, Hongzhi Yin · 2025 · IEEE Transactions on Knowledge and Data Engineering
  27. Advances in artificial intelligence: a review for the creative industries
    Nantheera Anantrasirichai, Fan Zhang, David Bull · 2026 · Artificial Intelligence Review
  28. Faster diffusion model with improved quality for particle cloud generation
    Matthew Leigh, Debajyoti Sengupta, J. A. Raine, Guillaume Quétant, T. Golling · 2024 · Physical review. D/Physical review. D.
  29. Leveraging synthetic data to tackle machine learning challenges in supply chains: challenges, methods, applications, and research opportunities
    Yunbo Long, Sebastian Kroeger, Michael F. Zaeh, Alexandra Melike Brintrup · 2025 · International Journal of Production Research
  30. Peptide-based drug design using generative AI
    Srinivasan Ekambaram, Nikolay V. Dokholyan · 2025 · Chemical Communications
  31. Latent Diffusion Transformer for Probabilistic Time Series Forecasting
    Shibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  32. A Framework for User Biometric Privacy Protection in UAV Delivery Systems with Edge Computing
    Aiting Yao, Shantanu Pal, Chengzu Dong, Xuejun Li, Xiao Liu · 2024 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
  33. Multi-omics based artificial intelligence for cancer research
    Lusheng Li, Mengtao Sun, Jieqiong Wang, Shibiao Wan · 2024 · Advances in cancer research
  34. Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance
    Qingcheng Zhao, Pengyu Long, Qixuan Zhang, Dafei Qin, Han Liang, Longwen Zhang, Yingliang Zhang, Jingyi Yu A, Lan Xu · 2024 · ACM SIGGRAPH Conference (SIGGRAPH)
  35. Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model
    Amir Miraki, Pekka Parviainen, Reza Arghandeh · 2024 · Energy and AI
  36. Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices
    Zhiyuan Ma, Yuzhu Zhang, Guoli Jia, Liangliang Zhao, Yichao Ma, Mingjie Ma, Gaofeng Liu, Kaiyan Zhang, Ning Ding, Jianjun Li et al. · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  37. Generative AI of things for sustainable smart cities: Synergizing cognitive augmentation, resource efficiency, network traffic, cybersecurity, and anomaly detection for environmental performance
    Simon Elias Bibri, Jeffrey Huang · 2025 · Sustainable Cities and Society
  38. MMGInpainting: Multi-Modality Guided Image Inpainting Based on Diffusion Models
    Cong Zhang, Wenxia Yang, Xin Li, Huan Han · 2024 · IEEE Transactions on Multimedia
  39. Uncertainty-Aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models
    Qiang Liu, Nils Thuerey · 2024 · AIAA Journal
  40. Recent Progress in Heat and Mass Transfer Modeling for Chemical Vapor Deposition Processes
    Łukasz Łach, Dmytro Svetozarovich Svyetlichnyy · 2024 · Energies
  41. Mask Diffusion-Based Contrastive Learning for Knowledge-Aware Recommendation
    Kaibei Li, Yihao Zhang, Xiaokang Li, Meng Yuan, Wei Guo Zhou · 2025 · IEEE Transactions on Knowledge and Data Engineering
  42. Advanced Learning Algorithms for Integrated Sensing and Communication (ISAC) Systems in 6G and Beyond: A Comprehensive Survey
    Nguyen Cong Luong, Thien Huynh‐The, Thai-Hoc Vu, Duc Van Le, Huy T. Nguyen, Nguyen Duc Hai, Gia-Vuong Nguyen, Nguyen Duc Duy Anh, Dusit Tao Niyato, Dong In Kim et al. · 2025 · IEEE Communications Surveys & Tutorials
  43. Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models
    Hai Wang, Xiaoyu Xiang, Yuchen Fan, Jing‐Hao Xue · 2024 · IEEE Winter Conference on Applications of Computer Vision
  44. Offshore wind turbine tower design and optimization: A review and AI-driven future directions
    João Alves Ribeiro, Bruno Alves Ribeiro, Francisco Pimenta, Sérgio M. O. Tavares, Jie Zhang, Faez Ahmed · 2025 · Applied Energy
  45. Generative AI for design of nanoporous materials: review and future prospects
    Evan Xie, Xijun Wang, Joern Ilja Siepmann, Haoyuan Chen, Randall Q. Snurr · 2025 · Digital Discovery
  46. Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models
    Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, X. Sheldon Lin · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  47. Visual Tuning
    Bruce X. B. Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin et al. · 2024 · ACM Computing Surveys
  48. Diffusion-Model-Based Incentive Mechanism With Prospect Theory for Edge AIGC Services in 6G IoT
    Jinbo Wen, Jiangtian Nie, Yue Zhong, Changyan Yi, Xiaohuan Li, Jiangming Jin, Yang Zhang, Dusit Tao Niyato · 2024 · IEEE Internet of Things Journal
  49. Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
    Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng · 2024 · ACM Computing Surveys
  50. DexDiffuser: Generating Dexterous Grasps With Diffusion Models
    Zehang Weng, Haofei Lu, Danica Kragić, Jens Lundell · 2024 · IEEE Robotics and Automation Letters
  51. UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization
    Zhang, Rui, Wang, Hongxia, Du, Mingshan, Liu, Hanqing, Zhou, Yang, Zeng, Qiang · 2023 · Proceedings of the 31st ACM International Conference on Multimedia
  52. DiffuSum: Generation Enhanced Extractive Summarization with Diffusion
    Haopeng Zhang, Xiao Liu, Jiawei Zhang · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  53. Speech driven video editing via an audio-conditioned diffusion model
    Dan Bigioi, Shubhajit Basak, Michał Stypułkowski, Maciej Zięba, Hugh Jordan, Rachel McDonnell, Peter Corcoran · 2024 · Image and Vision Computing
  54. From hearing to seeing: Linking auditory and visual place perceptions with soundscape-to-image generative artificial intelligence
    Yonggai Zhuang, Yuhao Kang, Teng Fei, Meng Bian, Yunyan Du · 2024 · Computers Environment and Urban Systems
  55. An Overview of Image Generation of Industrial Surface Defects
    Xiaopin Zhong, Junwei Zhu, Weixiang Liu, Chongxin Hu, Yuanlong Deng, Zongze Wu · 2023 · Sensors
  56. Bayesian conditional diffusion models for versatile spatiotemporal turbulence generation
    Han Gao, Xu Han, Xiantao Fan, Luning Sun, Liping Liu, Lian Duan, Jianxun Wang · 2024 · Computer Methods in Applied Mechanics and Engineering
  57. Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling
    Kang‐Hyun Lee, Gun Jin Yun · 2024 · npj Computational Materials
  58. Creative interior design matching the indoor structure generated through diffusion model with an improved control network
    Junming Chen, Xiaodong Zheng, Zichun Shao, Mengchao Ruan, Huiting Li, Zheng Dong, Yanyan Liang · 2024 · Frontiers of Architectural Research
  59. Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
    Vu Tuan Truong, L. Dang, Long Bao Le · 2025 · ACM Computing Surveys
  60. DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change Detection
    Wele Gedara Chaminda Bandara, Nithin Gopalakrishnan Nair, Vishal M. Patel · 2025 · IEEE Winter Conference on Applications of Computer Vision
  61. Wavelet-Inspired Multi-Channel Score-Based Model for Limited-Angle CT Reconstruction
    Jianjia Zhang, Haiyang Mao, Xinran Wang, Yuan Guo, Weiwen Wu · 2024 · IEEE Transactions on Medical Imaging
  62. Quantum‐Noise‐Driven Generative Diffusion Models
    Marco Parigi, Stefano Martina, Filippo Caruso · 2024 · Advanced Quantum Technologies
  63. A Spectral Diffusion Prior for Unsupervised Hyperspectral Image Super-Resolution
    Jianjun Liu, Zebin Wu, Liang Xiao · 2024 · IEEE Transactions on Geoscience and Remote Sensing
  64. DiffSARShipInst: Diffusion model for ship instance segmentation from synthetic aperture radar imagery
    Xiaowo Xu, Xiaoling Zhang, Shunjun Wei, Jun Shi, Wensi Zhang, Tianwen Zhang, Xu Zhan, Yanqin Xu, Tianjiao Zeng · 2025 · ISPRS Journal of Photogrammetry and Remote Sensing
  65. Self-supervised learning in drug discovery
    Yangyang Chen, Zixu Wang, Jianmin Wang, Yanyi Chu, Qingpeng Zhang, Zhong Alan Li, Xiangxiang Zeng · 2025 · Science China Information Sciences
  66. Language-driven Grasp Detection
    Vuong, An Dinh, Vu, Minh Nhat, Huang, Baoru, Nguyen, Nghia, Le, Hieu, Vo, Thieu, Nguyen, Anh · 2024 · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  67. Diffusion models as stochastic quantization in lattice field theory
    L. Wang, Gert Aarts A, Kai Zhou · 2024 · Journal of High Energy Physics
  68. A survey of emerging applications of diffusion probabilistic models in MRI
    Yuheng Fan, Hanxi Liao, Shiqi Huang, Yimin Luo, Huazhu Fu, Haikun Qi · 2024 · Meta-Radiology
  69. Diffusion Models for Medical Image Computing: A Survey
    Yaqing Shi, Abudukelimu Abulizi, Hao Wang, Ke Feng, Nihemaiti Abudukelimu, Youli Su, Halidanmu Abudukelimu · 2024 · Tsinghua Science & Technology
  70. Diff-RNTraj: A Structure-Aware Diffusion Model for Road Network-Constrained Trajectory Generation
    Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Huaiyu Wan · 2024 · IEEE Transactions on Knowledge and Data Engineering
  71. Taming Stable Diffusion for Text to 360° Panorama Image Generation
    Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Phung, Wanli Ouyang, Jianfei Cai · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  72. Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilation
    Guido Di Federico, Louis J. Durlofsky · 2024 · Computers & Geosciences
  73. On the design space between molecular mechanics and machine learning force fields
    Yuanqing Wang, Kenichiro Takaba, Michael S. Chen, Marcus Wieder, Yuzhi Xu, Tong Zhu, John Z. H. Zhang, Arnav Nagle, Kuang Yu, Xinyan Wang et al. · 2025 · Applied Physics Reviews
  74. A Survey on Quality Metrics for Text-to-Image Generation
    Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski · 2025 · IEEE Transactions on Visualization and Computer Graphics
  75. Advances in Controlled‐Release Packaging for Food Applications
    Junjun Zhang, Qin Zhou, Roujia Zhang, Jianing Zhang, Xiaowei Huang, Lidan Zhang, Tingting Shen, Jiyong Shi, Xiaobo Zou · 2025 · Comprehensive Reviews in Food Science and Food Safety
  76. Squidiff: predicting cellular development and responses to perturbations using a diffusion model
    He, Siyu, Zhu, Yuefei, Tavakol, Daniel Naveed, Ye, Haotian, Lao, Yeh-Hsing, Zhu, Zixian, Xu, Cong, Chauhan, Shradha, Garty, Guy, Tomer, Raju et al. · 2026 · Nature Methods
  77. Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation
    Han K. Huang, Leilei Sun, Bowen Du, Weifeng Lyu · 2024 · IEEE Transactions on Neural Networks and Learning Systems
  78. Solvent Screening for Separation Processes Using Machine Learning and High-Throughput Technologies
    Justin P. Edaugal, Difan Zhang, Dupeng Liu, Vassiliki‐Alexandra Glezakou, Ning Sun · 2025 · Chem & Bio Engineering
  79. BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models
    Jordan Vice, Naveed Akhtar, Richard I. Hartley, Ajmal Saeed Mian · 2024 · IEEE Transactions on Information Forensics and Security
  80. Preparation and application of hydroxypropyl methylcellulose blended with beeswax and essential oil edible coating to enhance the shelf life of sweet cherries
    Shahzad Zafar Iqbal, Muzammil Hussain, Husnain Ali, Ali Haider, Sohail T. Ali, Anwar Hussain, Muhammad Asif Javed, Mohammad Jawaid · 2024 · International Journal of Biological Macromolecules
  81. A decade of deep learning for remote sensing spatiotemporal fusion: Advances, challenges, and opportunities
    Esther Sun, Yongchuan Cui, Peng Liu, Jining Yan · 2025 · Information Fusion
  82. Data Augmentation for Human Activity Recognition With Generative Adversarial Networks
    Marcos Lupión, Federico Cruciani, Ian Cleland, Chris Nugent, Pilar M. Ortigosa · 2024 · IEEE Journal of Biomedical and Health Informatics
  83. Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges
    Sadi Can Sönmez, Mertcan Sevgi, Fares Antaki, Josef Christian Huemer, Pearse Andrew Keane · 2024 · British Journal of Ophthalmology
  84. SoK: Privacy-Preserving Data Synthesis
    Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David Alexander Forsyth, Bo Li, Dawn Xiaodong Song · 2024 · IEEE Symposium on Security and Privacy (S&P)
  85. Survey on Near-Space Information Networks: Channel Modeling, Transmission, and Networking Perspectives
    Xianbin Cao, Xiaoning Su, Peng Yang, Yue Gao, Dapeng Oliver Wu, Tony Q. S. Quek · 2025 · IEEE Communications Surveys & Tutorials
  86. Protein Design Using Structure-Prediction Networks: AlphaFold and RoseTTAFold as Protein Structure Foundation Models
    Jue Wang, Joseph L. Watson, Sidney Lyayuga Lisanza · 2024 · Cold Spring Harbor Perspectives in Biology
  87. Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
    Muhammad Usman Hadi, Qasem Al Tashi, Rizwan Qureshi, Abbas Shah, Amgad Muneer, Muhammad Imran Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Syed Zohaib Hassan et al. · 2025
  88. LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
    Zhang, Junyi, Guo, Jiaqi, Sun, Shizhao, Lou, Jian-Guang, Zhang, Dongmei · 2023 · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
  89. Improved Generative Steganography Based on Diffusion Model
    Qing Zhou, Wei Ping, Zhenxing Qian, Xinpeng Zhang, Sheng Li · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
  90. Enhancing gland segmentation in colon histology images using an instance-aware diffusion model
    Mengxue Sun, Jiale Wang, Qingtao Gong, Wenhui Huang · 2023 · Computers in Biology and Medicine
  91. On the role of generative artificial intelligence in the development of brain-computer interfaces
    Seif Eldawlatly · 2024 · BMC Biomedical Engineering
  92. Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
    Chao Gong, Kai Chen, Zhipeng Wei, Jingjing Chen, Yu–Gang Jiang · 2024 · Lecture notes in computer science
  93. Generative Artificial Intelligence (GenAI) in Business: A Systematic Review on the Threshold of Transformation
    Osman Şahin, Durmuş Karayel · 2024 · Journal of Smart Systems Research
  94. Advances in artificial intelligence for artificial metamaterials
    Liming Si, Rong Niu, Chenyang Dang, Xiue Bao, Yaqiang Zhuang, Weiren Zhu · 2024 · APL Materials
  95. Generative Artificial Intelligence in Medicine
    Divya Shanmugam, Monica Agrawal, Rajiv Movva, Irene Y. Chen, Marzyeh Ghassemi, Maia L. Jacobs, Emma Pierson · 2025 · Annual Review of Biomedical Data Science
  96. Future Shock: Generative AI and the International AI Policy and Governance Crisis
    Leslie, David, Perini, Antonella Maia · 2024 · Harvard Data Science Review
  97. Swinv2-Imagen: hierarchical vision transformer diffusion models for text-to-image generation
    Ruijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai · 2023 · Neural Computing and Applications
  98. Learning Autoencoder Diffusion Models of Pedestrian Group Relationships for Multimodal Trajectory Prediction
    Kai Lv, Liang Yuan, Xiaoyu Ni · 2024 · IEEE Transactions on Instrumentation and Measurement
  99. DiPPeR: Diffusion-based 2D Path Planner applied on Legged Robots
    Jianwei Liu, Maria Stamatopoulou, Dimitrios Kanoulas · 2024 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  100. Adversarial attacks and defenses on text-to-image diffusion models: A survey
    Chenyu Zhang, Mingwang Hu, Wenhui Li, Lanjun Wang · 2024 · Information Fusion