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
DOI 10.1145/3626235
Cited by (1,004)
Items 101–200 of 1,004
- Controllable Generation With Text-to-Image Diffusion Models: A SurveyPu Cao, Feng Zhou, Qing Song, Lu Yang · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative modelsKang‐Hyun Lee, Hyoung Jun Lim, Gun Jin Yun · 2023 · Engineering Applications of Artificial Intelligence
- Integrating aesthetics and efficiency: AI-driven diffusion models for visually pleasing interior design generationJunming Chen, Zichun Shao, Xiaodong Zheng, Kai Zhang, Jun Yin · 2024 · Scientific Reports
- Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunitiesZhengjing Ma, Gang Mei, Nengxiong Xu · 2024 · Artificial Intelligence Review
- Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering DesignLyle Regenwetter, Akash Srivastava, Dan Gutfreund, Faez Ahmed · 2023 · Computer-Aided Design
- Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion ModelsZhenyi Wang, Hongcai Zhang · 2024 · IEEE Transactions on Smart Grid
- ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion ModelYuanshao 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)
- Few-shot aero-engine bearing fault diagnosis with denoising diffusion based data augmentationZuowei Ping, Dewen Wang, Yong Zhang, Bo Ding, Yaqiong Duan, Wei Zhou · 2025 · Neurocomputing
- Generative models for protein sequence modeling: recent advances and future directionsMehrsa Mardikoraem, Zirui Wang, Nathaniel Pascual, Daniel Woldring · 2023 · Briefings in Bioinformatics
- A comprehensive survey for generative data augmentationYunhao Chen, Zihui Yan, Yunjie Zhu · 2024 · Neurocomputing
- MAISI: Medical AI for Synthetic ImagingPengfei 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
- ProT‐Diff: A Modularized and Efficient Strategy for De Novo Generation of Antimicrobial Peptide Sequences by Integrating Protein Language and Diffusion Models2024
- Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image SegmentationXutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Bo Peng, Hua Huang, Yang Xiang, Ting Ma · 2023 · IEEE International Symposium on Biomedical Imaging (ISBI)
- A Comprehensive Survey on Traffic Missing Data ImputationYimei Zhang, Xiangjie Kong, Wenfeng Zhou, Jin Liu, Yanjie Fu, Guojiang Shen · 2024 · IEEE Transactions on Intelligent Transportation Systems
- Generative artificial intelligence based models optimization towards molecule design enhancementTarek Khater, Sarah Awni Alkhatib, Aamna Al Shehhi, Charalampos Pitsalidis, Anna‐Maria Pappa, Sơn Tùng Ngô, Vincent Chan, Vi Khanh Truong · 2025 · Journal of Cheminformatics
- Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data PoisoningShengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su · 2023 · ACM International Conference on Multimedia (ACM MM)
- CT Image Denoising and Deblurring With Deep Learning: Current Status and PerspectivesYiming Lei, Chuang Niu, Junping Zhang, Ge Wang, Hongming Shan · 2023 · IEEE Transactions on Radiation and Plasma Medical Sciences
- FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentationWeiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou · 2024 · Information Fusion
- Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and ProspectsNa Li, Chunyi Zhou, Yansong Gao, Hui Chen, Zhi Zhang, Boyu Kuang, Anmin Fu · 2025 · IEEE Transactions on Neural Networks and Learning Systems
- Semantic guided large scale factor remote sensing image super-resolution with generative diffusion priorCe Wang, Wanjie Sun · 2024 · ISPRS Journal of Photogrammetry and Remote Sensing
- Generative Modeling, Design, and Analysis of Spider Silk Protein Sequences for Enhanced Mechanical PropertiesWei Lu, David Lee Kaplan, Markus J. Buehler · 2023 · Advanced Functional Materials
- ITI-Gen: Inclusive Text-to-Image GenerationCheng Zhang, Xuanbai Chen, Siqi Chai, Chen Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
- A Review of Deepfake Techniques: Architecture, Detection and DatasetsEdwards, Peter, Nebel, Jean-Christophe, Greenhill, Darrel, Liang, Xing · 2024 · IEEE Access
- Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image DatasetsMarzieh Esmaeili, Amirhosein Toosi, Arash Roshanpoor, Vahid Changizi, Marjan Ghazisaeedi, Arman Rahmim, Mohammad Sabokrou · 2023 · IEEE Access
- DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion ModelSiyang Li, Hui Xiong, Yize Chen · 2024 · IEEE Transactions on Smart Grid
- A Survey on Point-of-Interest Recommendation: Models, Architectures, and SecurityQianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu‐Ming Yiu, Hongzhi Yin · 2025 · IEEE Transactions on Knowledge and Data Engineering
- Advances in artificial intelligence: a review for the creative industriesNantheera Anantrasirichai, Fan Zhang, David Bull · 2026 · Artificial Intelligence Review
- Faster diffusion model with improved quality for particle cloud generationMatthew Leigh, Debajyoti Sengupta, J. A. Raine, Guillaume Quétant, T. Golling · 2024 · Physical review. D/Physical review. D.
- Leveraging synthetic data to tackle machine learning challenges in supply chains: challenges, methods, applications, and research opportunitiesYunbo Long, Sebastian Kroeger, Michael F. Zaeh, Alexandra Melike Brintrup · 2025 · International Journal of Production Research
- Peptide-based drug design using generative AISrinivasan Ekambaram, Nikolay V. Dokholyan · 2025 · Chemical Communications
- Latent Diffusion Transformer for Probabilistic Time Series ForecastingShibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
- A Framework for User Biometric Privacy Protection in UAV Delivery Systems with Edge ComputingAiting Yao, Shantanu Pal, Chengzu Dong, Xuejun Li, Xiao Liu · 2024 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
- Multi-omics based artificial intelligence for cancer researchLusheng Li, Mengtao Sun, Jieqiong Wang, Shibiao Wan · 2024 · Advances in cancer research
- Media2Face: Co-speech Facial Animation Generation With Multi-Modality GuidanceQingcheng Zhao, Pengyu Long, Qixuan Zhang, Dafei Qin, Han Liang, Longwen Zhang, Yingliang Zhang, Jingyi Yu A, Lan Xu · 2024 · ACM SIGGRAPH Conference (SIGGRAPH)
- Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic ModelAmir Miraki, Pekka Parviainen, Reza Arghandeh · 2024 · Energy and AI
- Efficient Diffusion Models: A Comprehensive Survey From Principles to PracticesZhiyuan 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
- Generative AI of things for sustainable smart cities: Synergizing cognitive augmentation, resource efficiency, network traffic, cybersecurity, and anomaly detection for environmental performanceSimon Elias Bibri, Jeffrey Huang · 2025 · Sustainable Cities and Society
- MMGInpainting: Multi-Modality Guided Image Inpainting Based on Diffusion ModelsCong Zhang, Wenxia Yang, Xin Li, Huan Han · 2024 · IEEE Transactions on Multimedia
- Uncertainty-Aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic ModelsQiang Liu, Nils Thuerey · 2024 · AIAA Journal
- Recent Progress in Heat and Mass Transfer Modeling for Chemical Vapor Deposition ProcessesŁukasz Łach, Dmytro Svetozarovich Svyetlichnyy · 2024 · Energies
- Mask Diffusion-Based Contrastive Learning for Knowledge-Aware RecommendationKaibei Li, Yihao Zhang, Xiaokang Li, Meng Yuan, Wei Guo Zhou · 2025 · IEEE Transactions on Knowledge and Data Engineering
- Advanced Learning Algorithms for Integrated Sensing and Communication (ISAC) Systems in 6G and Beyond: A Comprehensive SurveyNguyen 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
- Customizing 360-Degree Panoramas through Text-to-Image Diffusion ModelsHai Wang, Xiaoyu Xiang, Yuchen Fan, Jing‐Hao Xue · 2024 · IEEE Winter Conference on Applications of Computer Vision
- Offshore wind turbine tower design and optimization: A review and AI-driven future directionsJoão Alves Ribeiro, Bruno Alves Ribeiro, Francisco Pimenta, Sérgio M. O. Tavares, Jie Zhang, Faez Ahmed · 2025 · Applied Energy
- Generative AI for design of nanoporous materials: review and future prospectsEvan Xie, Xijun Wang, Joern Ilja Siepmann, Haoyuan Chen, Randall Q. Snurr · 2025 · Digital Discovery
- Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion ModelsRuichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, X. Sheldon Lin · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
- Visual TuningBruce 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
- Diffusion-Model-Based Incentive Mechanism With Prospect Theory for Edge AIGC Services in 6G IoTJinbo Wen, Jiangtian Nie, Yue Zhong, Changyan Yi, Xiaohuan Li, Jiangming Jin, Yang Zhang, Dusit Tao Niyato · 2024 · IEEE Internet of Things Journal
- Graph and Sequential Neural Networks in Session-based Recommendation: A SurveyZihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng · 2024 · ACM Computing Surveys
- DexDiffuser: Generating Dexterous Grasps With Diffusion ModelsZehang Weng, Haofei Lu, Danica Kragić, Jens Lundell · 2024 · IEEE Robotics and Automation Letters
- UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery LocalizationZhang, Rui, Wang, Hongxia, Du, Mingshan, Liu, Hanqing, Zhou, Yang, Zeng, Qiang · 2023 · Proceedings of the 31st ACM International Conference on Multimedia
- DiffuSum: Generation Enhanced Extractive Summarization with DiffusionHaopeng Zhang, Xiao Liu, Jiawei Zhang · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
- Speech driven video editing via an audio-conditioned diffusion modelDan Bigioi, Shubhajit Basak, Michał Stypułkowski, Maciej Zięba, Hugh Jordan, Rachel McDonnell, Peter Corcoran · 2024 · Image and Vision Computing
- From hearing to seeing: Linking auditory and visual place perceptions with soundscape-to-image generative artificial intelligenceYonggai Zhuang, Yuhao Kang, Teng Fei, Meng Bian, Yunyan Du · 2024 · Computers Environment and Urban Systems
- An Overview of Image Generation of Industrial Surface DefectsXiaopin Zhong, Junwei Zhu, Weixiang Liu, Chongxin Hu, Yuanlong Deng, Zongze Wu · 2023 · Sensors
- Bayesian conditional diffusion models for versatile spatiotemporal turbulence generationHan Gao, Xu Han, Xiantao Fan, Luning Sun, Liping Liu, Lian Duan, Jianxun Wang · 2024 · Computer Methods in Applied Mechanics and Engineering
- Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized samplingKang‐Hyun Lee, Gun Jin Yun · 2024 · npj Computational Materials
- Creative interior design matching the indoor structure generated through diffusion model with an improved control networkJunming Chen, Xiaodong Zheng, Zichun Shao, Mengchao Ruan, Huiting Li, Zheng Dong, Yanyan Liang · 2024 · Frontiers of Architectural Research
- Attacks and Defenses for Generative Diffusion Models: A Comprehensive SurveyVu Tuan Truong, L. Dang, Long Bao Le · 2025 · ACM Computing Surveys
- DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change DetectionWele Gedara Chaminda Bandara, Nithin Gopalakrishnan Nair, Vishal M. Patel · 2025 · IEEE Winter Conference on Applications of Computer Vision
- Wavelet-Inspired Multi-Channel Score-Based Model for Limited-Angle CT ReconstructionJianjia Zhang, Haiyang Mao, Xinran Wang, Yuan Guo, Weiwen Wu · 2024 · IEEE Transactions on Medical Imaging
- Quantum‐Noise‐Driven Generative Diffusion ModelsMarco Parigi, Stefano Martina, Filippo Caruso · 2024 · Advanced Quantum Technologies
- A Spectral Diffusion Prior for Unsupervised Hyperspectral Image Super-ResolutionJianjun Liu, Zebin Wu, Liang Xiao · 2024 · IEEE Transactions on Geoscience and Remote Sensing
- DiffSARShipInst: Diffusion model for ship instance segmentation from synthetic aperture radar imageryXiaowo 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
- Self-supervised learning in drug discoveryYangyang Chen, Zixu Wang, Jianmin Wang, Yanyi Chu, Qingpeng Zhang, Zhong Alan Li, Xiangxiang Zeng · 2025 · Science China Information Sciences
- Language-driven Grasp DetectionVuong, 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)
- Diffusion models as stochastic quantization in lattice field theoryL. Wang, Gert Aarts A, Kai Zhou · 2024 · Journal of High Energy Physics
- A survey of emerging applications of diffusion probabilistic models in MRIYuheng Fan, Hanxi Liao, Shiqi Huang, Yimin Luo, Huazhu Fu, Haikun Qi · 2024 · Meta-Radiology
- Diffusion Models for Medical Image Computing: A SurveyYaqing Shi, Abudukelimu Abulizi, Hao Wang, Ke Feng, Nihemaiti Abudukelimu, Youli Su, Halidanmu Abudukelimu · 2024 · Tsinghua Science & Technology
- Diff-RNTraj: A Structure-Aware Diffusion Model for Road Network-Constrained Trajectory GenerationTonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Huaiyu Wan · 2024 · IEEE Transactions on Knowledge and Data Engineering
- Taming Stable Diffusion for Text to 360° Panorama Image GenerationCheng 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
- Latent diffusion models for parameterization of facies-based geomodels and their use in data assimilationGuido Di Federico, Louis J. Durlofsky · 2024 · Computers & Geosciences
- On the design space between molecular mechanics and machine learning force fieldsYuanqing 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
- A Survey on Quality Metrics for Text-to-Image GenerationSebastian 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
- Advances in Controlled‐Release Packaging for Food ApplicationsJunjun 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
- Squidiff: predicting cellular development and responses to perturbations using a diffusion modelHe, 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
- Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule GenerationHan K. Huang, Leilei Sun, Bowen Du, Weifeng Lyu · 2024 · IEEE Transactions on Neural Networks and Learning Systems
- Solvent Screening for Separation Processes Using Machine Learning and High-Throughput TechnologiesJustin P. Edaugal, Difan Zhang, Dupeng Liu, Vassiliki‐Alexandra Glezakou, Ning Sun · 2025 · Chem & Bio Engineering
- BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative ModelsJordan Vice, Naveed Akhtar, Richard I. Hartley, Ajmal Saeed Mian · 2024 · IEEE Transactions on Information Forensics and Security
- Preparation and application of hydroxypropyl methylcellulose blended with beeswax and essential oil edible coating to enhance the shelf life of sweet cherriesShahzad Zafar Iqbal, Muzammil Hussain, Husnain Ali, Ali Haider, Sohail T. Ali, Anwar Hussain, Muhammad Asif Javed, Mohammad Jawaid · 2024 · International Journal of Biological Macromolecules
- A decade of deep learning for remote sensing spatiotemporal fusion: Advances, challenges, and opportunitiesEsther Sun, Yongchuan Cui, Peng Liu, Jining Yan · 2025 · Information Fusion
- Data Augmentation for Human Activity Recognition With Generative Adversarial NetworksMarcos Lupión, Federico Cruciani, Ian Cleland, Chris Nugent, Pilar M. Ortigosa · 2024 · IEEE Journal of Biomedical and Health Informatics
- Generative artificial intelligence in ophthalmology: current innovations, future applications and challengesSadi Can Sönmez, Mertcan Sevgi, Fares Antaki, Josef Christian Huemer, Pearse Andrew Keane · 2024 · British Journal of Ophthalmology
- SoK: Privacy-Preserving Data SynthesisYuzheng 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)
- Survey on Near-Space Information Networks: Channel Modeling, Transmission, and Networking PerspectivesXianbin Cao, Xiaoning Su, Peng Yang, Yue Gao, Dapeng Oliver Wu, Tony Q. S. Quek · 2025 · IEEE Communications Surveys & Tutorials
- Protein Design Using Structure-Prediction Networks: AlphaFold and RoseTTAFold as Protein Structure Foundation ModelsJue Wang, Joseph L. Watson, Sidney Lyayuga Lisanza · 2024 · Cold Spring Harbor Perspectives in Biology
- Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future ProspectsMuhammad 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
- LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic ModelsZhang, Junyi, Guo, Jiaqi, Sun, Shizhao, Lou, Jian-Guang, Zhang, Dongmei · 2023 · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
- Improved Generative Steganography Based on Diffusion ModelQing Zhou, Wei Ping, Zhenxing Qian, Xinpeng Zhang, Sheng Li · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
- Enhancing gland segmentation in colon histology images using an instance-aware diffusion modelMengxue Sun, Jiale Wang, Qingtao Gong, Wenhui Huang · 2023 · Computers in Biology and Medicine
- On the role of generative artificial intelligence in the development of brain-computer interfacesSeif Eldawlatly · 2024 · BMC Biomedical Engineering
- Reliable and Efficient Concept Erasure of Text-to-Image Diffusion ModelsChao Gong, Kai Chen, Zhipeng Wei, Jingjing Chen, Yu–Gang Jiang · 2024 · Lecture notes in computer science
- Generative Artificial Intelligence (GenAI) in Business: A Systematic Review on the Threshold of TransformationOsman Şahin, Durmuş Karayel · 2024 · Journal of Smart Systems Research
- Advances in artificial intelligence for artificial metamaterialsLiming Si, Rong Niu, Chenyang Dang, Xiue Bao, Yaqiang Zhuang, Weiren Zhu · 2024 · APL Materials
- Generative Artificial Intelligence in MedicineDivya Shanmugam, Monica Agrawal, Rajiv Movva, Irene Y. Chen, Marzyeh Ghassemi, Maia L. Jacobs, Emma Pierson · 2025 · Annual Review of Biomedical Data Science
- Future Shock: Generative AI and the International AI Policy and Governance CrisisLeslie, David, Perini, Antonella Maia · 2024 · Harvard Data Science Review
- Swinv2-Imagen: hierarchical vision transformer diffusion models for text-to-image generationRuijun Li, Weihua Li, Yi Yang, Hanyu Wei, Jianhua Jiang, Quan Bai · 2023 · Neural Computing and Applications
- Learning Autoencoder Diffusion Models of Pedestrian Group Relationships for Multimodal Trajectory PredictionKai Lv, Liang Yuan, Xiaoyu Ni · 2024 · IEEE Transactions on Instrumentation and Measurement
- DiPPeR: Diffusion-based 2D Path Planner applied on Legged RobotsJianwei Liu, Maria Stamatopoulou, Dimitrios Kanoulas · 2024 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Adversarial attacks and defenses on text-to-image diffusion models: A surveyChenyu Zhang, Mingwang Hu, Wenhui Li, Lanjun Wang · 2024 · Information Fusion