Diffusion Models: A Comprehensive Survey of Methods and Applications

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Items 801–900 of 1,004

1. Enhancing Requirements Elicitation through App Stores Mining: Health Monitoring App Case Study
   Jialiang Wei · 2023 · IEEE International Requirements Engineering Conference (RE)
2. Gesture Generation with Diffusion Models Aided by Speech Activity Information
   Rodolfo Luis Tonoli, Leonardo B. de M. M. Marques, Lucas Hideki Ueda, Paula Dornhofer Paro Costa · 2023 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
3. Imputing time-series microbiome abundance profiles with diffusion model
   Misato Seki, Yaozhong Zhang, Seiya Imoto · 2023 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
4. Deep generative model‐based generation method of stochastic structural planes of rock masses in tunnels
   Meng Han, Gang Mei, Xiaoyu Qi, Nengxiong Xu, Jianbing Peng · 2024 · Geological Journal
5. An AI-Enabled Framework for Smart Semiconductor Manufacturing
   Khaled Sidahmed Sidahmed Alamin, Davide Appello, Alessandro Beghi, Nicola Dall’Ora, Fabio Depaoli, Santa Di Cataldo, Franco Fummi, Sebastiano Gaiardelli, Michele Lora, Enrico Macii et al. · 2024 · Design, Automation, and Test in Europe
6. DGFusion: A Novel Infrared and Visible Image Fusion Method Based on Diffusion and Generative Adversarial Networks
   Zhiguang Yang, Hanqin Qin, Shan Zeng, Bing Li, Yuanyan Tang · 2024 · IEEE Access
7. De novo Molecular Design using Deep Learning
   Thanh‐Hoang Nguyen‐Vo · 2024 · Open Access Victoria University of Wellington | Te Herenga Waka (Figshare)
8. Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure
   Minshuo Chen, Renyuan Xu, Yumin Xu, Ruixun Zhang · 2025 · SSRN Electronic Journal
9. Enhancing image watermarking efficiency through advanced deep learning: A novel approach with modified Res-Ception blocks and practical applications in modern scenarios
   Sameer Trivedi, Arkita Dam, Bharathi Chidirala, Bibhudendra Acharya · 2024 · Digital Signal Processing
10. ISGAN: Unsupervised Domain Adaptation With Improved Symmetric GAN for Cross-Modality Multi-Organ Segmentation
    Jiapeng Li, Yifan Zhang, L. Xu, Yu-Dong Yao, Lin Qi · 2024 · IEEE journal of biomedical and health informatics
11. Next-Generation Computer Vision in Veterinary Medicine: A Study on Canine Ophthalmology
    Matija Burić, Marina Ivašić-Kos · 2025 · IEEE Transactions on Artificial Intelligence
12. Semi-Supervised Approach for Automatic Counting of Whiteflies With Small Annotated Dataset
    Laura Gómez-Zamanillo, Arantza Bereciartua, Andoni Elola, Artzai Picón, Aitor Álvarez-Gila, Itziar Egusquiza, Ramón Navarra-Mestre · 2025 · IEEE Access
13. A Digital Twin System for Predictive Maintenance of Complex Equipment
    Zidi Jia, Jiabao Dong, Shixiang Li, Haiteng Wang, Yuqing Wang, Jing Zhang, Lei Ren · 2024 · IEEE Smart World Congress (SWC)
14. HandCraft: Anatomically Correct Restoration of Malformed Hands in Diffusion Generated Images
    Zhenyue Qin, Yiqun Zhang, Yang Liu, Dylan Campbell · 2025 · IEEE Winter Conference on Applications of Computer Vision
15. Data-driven structural generative design based on diffusion model for flexible support of optical mirror
    Chaoqun Zeng, Jiaying Wang, Wei Wang, Kuo Hai, Shaoxing Ma, Lei Wei · 2025 · Engineering Structures
16. DiffM 4 RI: A Latent Diffusion Model With Modality Inpainting for Synthesizing Missing Modalities in MRI Analysis
    Ye Wen, Zhetao Guo, Yuxiang Ren, Yi Tian, Yushi Shen, Zan Chen, Junjun He, Jing Ke, Yiqing Shen · 2025 · IEEE Journal of Biomedical and Health Informatics
17. Beyond dimensionality explosion: A latent diffusion framework for hyperspectral image classification
    Meiyun Lu, Ning Chen, Xia Yue, Yicong Li, Jun Yue, Leyuan Fang · 2025 · Neurocomputing
18. Investigating evidence-oriented generation of synthetic text data with a generative large language model in science education
    Judith Stanja, Sarah Dannemann, Johannes Krugel, Anett Hoppe · 2025 · International Journal of Science Education
19. Innovative Applications of AIGC Technology in Game Narratives
    Yue Wu · 2025 · Journal of Modern Social Sciences
20. A Systematic Framework for Compressing Generative Diffusion Models for Resource-Constrained IoT Devices
    Zhenquan Qin, Bo Ci Cheng, Sen Liang, Bingxian Lu, Guangjie Han · 2025 · IEEE Internet of Things Journal
21. Next‐Generation Pathology Unveiled: AI‐Enhanced Label‐Free Microimaging
    Xuedi Mao, Zhiyan Luo, Zhihui Chen, Jiajia He, Gangqin Xi, Jun Zhang, Guangxing Wang, Shuangmu Zhuo · 2025 · Laser & Photonics Review
22. Diff-Art: Category-level Articulation Pose Estimation via Conditional Diffusion
    Yukang Huo, Xianhui Meng, Li Zhang, Haonan Jiang, Yan Zhong, Mingyuan Yao, Haihua Wang · 2025 · IEEE International Conference on Multimedia and Expo (ICME)
23. Noise-Conditioned Adversarial Diffusion Denoising Implicit Model (NCA-DDIM) for Data Augmentation in Engineering Applications
    Emmanuel Yangue, Wenmeng Tian, Yu Feng, Chenang Liu · 2025 · IEEE Transactions on Automation Science and Engineering
24. Privacy-aware pedestrian trajectory prediction with dual-channel destination guidance and multi-factor aggregation federated learning
    Rongrong Ni, Lei Fang, Chuan Hu, Yingfeng Cai, Hongyu Hu, Biao Yang · 2025 · Transportmetrica B Transport Dynamics
25. Diffuse Some Noise: Diffusion Models for Measurement Noise Removal in Side-Channel Analysis
    Sengim Karayalçın, Guilherme Perin, Stjepan Picek · 2026 · Lecture notes in computer science
26. MIRAGE: Retrieval and Generation of Multimodal Images and Texts for Medical Education
    Miguel Díaz Benito, Cecilia Diana-Albelda, Álvaro García‐Martín, Jesús Bescós, Marcos Escudero-Viñolo, Juan C. SanMiguel · 2026 · Lecture notes in computer science
27. Cross-platform super-resolution: A diffusion model approach for enhancing satellite imagery with aerial data
    Zhe Wang, Carmen Galaz García, Benjamin S. Halpern · 2026 · International Journal of Applied Earth Observation and Geoinformation
28. Generative artificial intelligence in pharmaceutical drug development: A systematic review of time and cost efficiency across discovery, preclinical, and clinical phases
    Aaron Riemer, Victoria Freund · 2026 · Intelligent Pharmacy
29. Generating synthetic MRI scans for improving Alzheimer’s disease diagnosis
    Rosanna Turrisi, Giuseppe Patanè · 2026 · Medical Image Analysis
30. GMDDPM-CT: Advancing network intrusion detection through diffusion-based sample synthesis and deep learning
    Gan Zhu, Yongtao Yu, Zhenyuan Li, Yumin Dai · 2026 · ICT Express
31. BearGen: LLM-guided signal generation framework for bearing fault diagnosis
    Jaeyoung Lee, Hyuna Jeon, Uiin Kim, Misuk Kim · 2026 · Advanced Engineering Informatics
32. Intrusion detection for low-altitude wireless networks: Diffusion-enhanced spatiotemporal graph network with dual self-attention
    Runze Ma, Zijian Li, Xianshi Su, Munan Li, Tony Q. S. Quek · 2026 · Computer Networks
33. Can Watermarks Be Removed Like Noise? A Watermarking Attack Network Using Residual Diffusion Model
    Chunpeng Wang, Feng Zhang, Shanshan Zhang, Yunan Liu, Yuli Wang, Qi Li, Zhiqiu Xia · 2026 · IEEE Transactions on Dependable and Secure Computing
34. Semantically-guided dual-branch prototypical network with dynamic margin for few-shot industrial fault diagnosis
    Hang Ruan, Jian Huang, Jianbo Yu, Wenwen Liao, Wenchao Zhuo, Zhi Li, Xiaofeng Yang · 2026 · Neurocomputing
35. A spatiotemporal diffusion framework for state estimation in low-observability distribution systems
    Dingyan Hua, Luliang Zhang, Wenhu Tang, Jianzhong Wu, Tong Qian · 2026 · International Journal of Electrical Power & Energy Systems
36. Learning Nonlinear Flow Matching for Multimodal Remote Sensing Image Clustering
    Shujun Liu · 2026 · IEEE Transactions on Geoscience and Remote Sensing
37. RADM-DRE:Retrieval Augmentation for Document-Level Relation Extraction with Diffusion Model
    Qing Zhang, Qingsong Yuan, Jianyong Duan, Yuhang Jiang, Hao Wang, Zhengxin Gao, Li He, Jie Liu · 2023 · International Conference on Asian Language Processing
38. Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations
    Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe · 2023 · Asilomar Conference on Signals, Systems and Computers (ACSSC)
39. Climate Disaster Preparedness
    Dennis Del Favero, Susanne Julia Thurow, Michael J. Ostwald, Ursula Frohne · 2024 · Arts, research, innovation and society
40. PromoterDiff: De Novo Design Approach for Escherichia coli Promoters Based on a Diffusion Model
    Yunkun Cheng, Xiankun Zhang, Fufeng Liu, Danyang Zhao, Xin Luo · 2024 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
41. Fault Detection in Mobile Networks Using Diffusion Models
    Mohamad Nabeel, Doumitrou Daniil Nimara, Tahar Zanouda · 2024 · IEEE International Conference on Communications workshops
42. Dformer: Learning Efficient Image Restoration with Perceptual Guidance
    Nodirkhuja Khudjaev, Roman Tsoy, S M A Sharif, Azamat Myrzabekov, Seong‐Wan Kim, Jae-Ho Lee · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
43. Fashion style transfer: enhancing efficiency and aesthetic with a novel two-stage neural network
    Yuexin Sun, Yu Chen, Zhaohui Wang, Qinwen Ye, Yingrui Lyu, Huanhuan Liu · 2024 · Journal of the Textile Institute
44. CCEGAN: Enhancing GAN clustering through contrastive clustering ensemble
    Jie Yan, Jing Liu, Yun Chen, Tao You, Xiaoke Ma, Zhongyuan Zhang · 2024 · Information Sciences
45. Diffusion model for multi-scale ship object detection and recognition in remote sensing images
    Lei Chen, Bin Wang, Ying Liu, Shuang Zhao, Qinghe Guan, Guandian Li · 2024 · Signal Image and Video Processing
46. Joint scheduling optimization of production assembly considering testing groups in robot manufacturing
    Peng Wu, Min Kong, Han Zhang, Amir M. Fathollahi‐Fard, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ · 2024 · Annals of Operations Research
47. Coupling of state space modules and attention mechanisms: An input‐aware multi‐contrast MRI synthesis method
    Shuai Chen, Ruoyu Zhang, Huazheng Liang, Yunzhu Qian, Xuefeng Zhou · 2024 · Medical Physics
48. Generative Prostate MRI Synthesis based on Latent Diffusion model for prostate cancer risk stratification
    Xiang Li, Tongquan Wu, Qing Zhang, Xiaoxiao Wu, Wei Ma, Guoping Xu, Chunguang Yang, Yan Shi, Xinglong Wu · 2024 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
49. Generating High-Fidelity Clothed Human Dynamics with Temporal Diffusion
    Shihao Zou, Yuanlu Xu, Nikolaos Sarafianos, Federica Bogo, Tony Tung, Weixin Si, Li Cheng · 2025 · ACM Transactions on Multimedia Computing Communications and Applications
50. ChemGenX: AI in the Chemistry Classroom
    Touqeer Abbas, Umair Javed, Faisal Mehmood, Muneeb Raza, Hui Li · 2024 · International Symposium on Artificial Intelligence for Education (ISAIE)
51. Diffusion reconstruction for the diluted Ising model
    Stefano Bae, Enzo Marinari, Federico Ricci‐Tersenghi · 2025 · Physical review. E
52. Efficient Denoising of Ultrasonic Logging While Drilling Images: Multinoise Diffusion Denoising and Distillation
    Wei Zhang, Qiaofeng Qu, Ao Qiu, Жипенг Ли, Xien Liu, Yanjun Li · 2025 · IEEE Transactions on Geoscience and Remote Sensing
53. DefectDiffusion: A Generative Diffusion Model for Robust Data Augmentation in Industrial Defect Detection
    Adnan Md Tayeb, Hope Leticia Nakayiza, Heejae Shin, Seungmin Lee, Jae Min Lee, Dong‐Seong Kim · 2025 · International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
54. DMFFT: improving the generation quality of diffusion models using fast Fourier transform
    Cuihong Yu, Cheng Han, Chao Zhang · 2025 · Scientific Reports
55. Morphology Evolution for Embodied Robot Design With a Classifier-Guided Diffusion Model
    Shulei Liu, Junchi Yan, Handing Wang, Yaochu Jin · 2025 · IEEE Transactions on Evolutionary Computation
56. Diffusion-based dynamic super-dense candidate boxes with random center points for 3D object detection
    Si-Heng He, Zijia Wang, Yuan‐Gen Wang, Yicong Zhou, Sam Kwong · 2025 · Applied Soft Computing
57. The “Curious Case of Contexts” in Retrieval‐Augmented Generation With a Combination of Labeled and Unlabeled Data
    Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar · 2025 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
58. Generating microscopic images of rocks using generative artificial intelligence (GenAI)
    M. Młynarczuk, Magdalena Habrat · 2025 · Earth Science Informatics
59. DFGIC-Net: diffusion feature-guided information complementary network for infrared and visible light fusion
    Yekai Cui, Peng Duan, Jinjiang Li · 2025 · The Journal of Supercomputing
60. DMformer: a transformer with denoising and multi-modal data fusion for enhancing BEV perception
    Xuefeng Bao, Feng Liu, Yunli Chen, Yong Li, Rui Tian · 2025 · Complex & Intelligent Systems
61. A diffusion model and knowledge distillation framework for robust coral detection in complex underwater environments
    Zhaoxuan Lu, Lyuchao Liao, Chuang Li, Xingang Xie, Hui Lin Yuan · 2025 · Engineering Applications of Artificial Intelligence
62. A Diffusion Model Based on Hilbert–Huang Reconstruction for Pathological Voice Generation
    Yuyang Jiang, Mingxuan Yan, Xiaojun Zhang, Zhi Tao · 2025 · IEEE Transactions on Audio Speech and Language Processing
63. Anatomical Consistency and Adaptive Prior-informed Transformation for Multi-contrast MR Image Synthesis via Diffusion Model
    Yejee Shin, Yeeun Lee, Hanbyol Jang, Geonhui Son, Hyeongyu Kim, Dosik Hwang · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
64. Annotation-Free, High-Fidelity SAR Oil-Spill Image Synthesis via Classification-Guided Diffusion Model
    Bin Wang, Song Dai, Dongmei Song, Lei Chen, Wei‐Min Chen, Jin-Tao Yu · 2025 · IEEE Transactions on Geoscience and Remote Sensing
65. Multimodal laryngoscopic video analysis for assisted diagnosis of vocal fold paralysis
    Yucong Zhang, Xin Zou, Jinshan Yang, Wenjun Chen, Juan Liu, Faya Liang, Ming Li · 2025 · Computer Speech & Language
66. Analysis of Diffusion Models for Manifold Data
    Anand Jerry George, Rodrigo Veiga, Nicolas Macris · 2025 · IEEE International Symposium on Information Theory (ISIT)
67. Addressing Small and Imbalanced Medical Image Datasets Using Generative Models
    Iman Khazrak, Shakhnoza Takhirova, Mostafa M. Rezaee, Mehrdad Yadollahi, Robert C. Green II, Shuteng Niu · 2025 · Artificial Intelligence and Applications
68. TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers
    Younghye Hwang, Hyojin Lee, Joonhyuk Kang · 2025 · International Joint Conference on Neural Networks (IJCNN)
69. Synthesis and perceptual scaling of high-resolution naturalistic images using Stable Diffusion
    Leonardo Pettini, Carsten Bogler, Christian F. Doeller, John­–Dylan Haynes · 2025 · Behavior Research Methods
70. Geometric deep learning for galaxy-halo connection: a case study for galaxy intrinsic alignments
    Yesukhei Jagvaral, François Lanusse, Rachel Mandelbaum · 2025 · Monthly Notices of the Royal Astronomical Society
71. Defending Privacy Inference Attacks to Federated Learning for Intelligent IoT with Parameter Compression
    Yongsheng Zhu, Hongbo Cao, Yuange Ren, Wanqi Wang, Bin Wang, Mingqing Hu, Baigen Cai, Wei Wang · 2023 · Security and Communication Networks · Retracted
72. Conditional Human Activity Signal Generation and Generative Classification with a GPT-2 Model
    Hazar Zilelioglu, Ghazaleh Khodabandelou, Abdelghani Chibani, Yacine Amirat · 2023 · International Joint Conference on Neural Networks (IJCNN)
73. Ambigram Generation by a Diffusion Model
    Takahiro Shirakawa, Seiichi Uchida · 2023 · Lecture notes in computer science
74. RS Transformer: A Two-Stage Region Proposal Using Swin Transformer for Few-Shot Pest Detection in Automated Agricultural Monitoring Systems
    Tengyue Wu, Liantao Shi, Lei Zhang, Xingkai Wen, Jianjun Lu, Zhengguo Li · 2023 · Applied Sciences
75. Anomaly Detection in Machining Centers Based on Graph Diffusion-Hierarchical Neighbor Aggregation Networks
    Jiewen Huang, Ying Yang · 2023 · Applied Sciences
76. Building Simulations with Generative Artificial Intelligence
    Jon McCormack, Mick Grierson · 2024 · Arts, research, innovation and society
77. Can We Learn to Compress RF Signals?
    Yagna Kaasaragadda, Armani Rodriguez, Silvija Kokalj-Filipović · 2024 · International Balkan Conference on Communications and Networking (BalkanCom)
78. Enhancing Parametric Design Education Through Rhinoceros/Grasshopper: Visual Perception Principles, Student Learning, and Future Integration with AI
    Gabriele Stancato · 2024 · Digital innovations in architecture, engineering and construction
79. Dataset-level color augmentation and multi-scale exploration methods for polyp segmentation
    Haipeng Chen, Honghong Ju, Jun Qin, Jincai Song, Yingda Lyu, Xianzhu Liu · 2024 · Expert Systems with Applications
80. Harnessing Social Media for Trend Analysis and Behavioral Understanding
    Ambeshwar Kumar, M. Lakshmi, R. Manikandan · 2024 · Advances in linguistics and communication studies
81. Diffusion-Based Adaptation for Classification of Unknown Degraded Images
    Dinesh Daultani, Masayuki Tanaka, Masatoshi Okutomi, Kazuki Endo · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
82. The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation
    Yi Yao, Chan-Feng Hsu, Jhe-Hao Lin, Hongxia Xie, Terence Lin, Yining Huang, Hong-Han Shuai, Wen-Huang Cheng · 2024 · Lecture notes in computer science
83. Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
    Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li, Alzheimer’s Disease Neuroimaging Initiative · 2024 · Lecture notes in computer science
84. Joint Power Allocation and Reliability Optimization with Generative AI for Wireless Networked Control Systems
    Xudong Wang, Lei Feng, Fanqin Zhou, Wenjing Li · 2024 · IEEE/CIC International Conference on Communications in China (ICCC)
85. What is artificial intelligence, machine learning, and deep learning: terminologies explained
    Zijun Cui, Andrew J. Hung · 2024 · Elsevier eBooks
86. MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models
    Jonathan Brokman, Omer Hofman, Roman Vainshtein, Amit Giloni, Toshiya Shimizu, Inderjeet Singh, Oren Rachmil, Alon Zolfi, Asaf Shabtai, Yuki Unno et al. · 2024 · Lecture notes in computer science
87. Weyl Calculus and Exactly Solvable Schrödinger Bridges with Quadratic State Cost
    Alexis M. H. Teter, Wenqing Wang, Abhishek Halder · 2024 · Allerton Conference on Communication, Control, and Computing
88. Considering How Machine‐Learning Algorithms (Re)produce Social Biases in Generated Faces
    Matthew Gusdorff, Alvin Grissom, Jeová Farias Sales Rocha Neto, Yupeng Lin, Ryan Trotter, Ryan F. Lei · 2024 · Social and Personality Psychology Compass
89. Low-rank Angular Prior Guided Multi-diffusion Model for Few-shot Low-dose CT Reconstruction
    Wenhao Zhang, Bin Huang, Shuyue Chen, Xiaoling Xu, Weiwen Wu, Qiegen Liu · 2024 · IEEE Transactions on Computational Imaging
90. Implementation of Diffusion Model in Realistic Face Generation
    Abidur Rahman, Faiyaz Al-Mamoon, Mohammad Nazmus Saquib, Mukarrama Tun Fabia, Farhan Bin Bahar, Md. Khalilur Rhaman · 2024 · International Conference on Image, Vision and Computing (ICIVC)
91. Denoising Diffusion-Based Control of Nonlinear Systems
    Karthik Elamvazhuthi, Darshan Gadginmath, Fabio Pasqualetti · 2024 · IEEE Conference on Decision and Control (CDC)
92. Tumor Synthesis Conditioned on Radiomics
    Jonghun Kim, Inye Na, Eun Sook Ko, Hyunjin Park · 2025 · IEEE Winter Conference on Applications of Computer Vision
93. Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
    Chutian Meng, Fan Ma, Jiaxu Miao, Chi Zhang, Yi Yang, Yueting Zhuang · 2025 · Proceedings of the AAAI Conference on Artificial Intelligence
94. DenoSR: A high‐fidelity super‐resolution approach for noisy images
    Zihan Guo, Haijian Shao, Xing Deng, Yingtao Jiang · 2025 · ETRI Journal
95. Sarcasm detection enhanced by multi-modal topics using denoising diffusion probabilistic models
    Xiaoqiang Zhang, Guangyao Li, Xiaomeng Li, Buwen Liang, Ying Chen · 2025 · Pattern Recognition
96. A method for generating digital avatar animation with speech and non-verbal synchronization based on bimodal data
    Alexandr Axyonov, Елена Витальевна Рюмина, Dmitry Ryumin · 2025 · Scientific and technical journal of information technologies mechanics and optics
97. Metal oxide candidates for thermochemical water splitting obtained with a generative diffusion model
    Matthew David Witman, Reese E. Jones, Andrew J. E. Rowberg, Stephan Lany · 2025 · Journal of Physics Energy
98. DiffuStory: Improving text diffusion models for creative story generation with contrastive learning and decoder-decoder Transformers
    Zhenyu Li, Kaijie Xu, Yian Liang, Yuechuan Wang, Zongfeng Zou · 2025 · Expert Systems with Applications
99. Draw Like an Artist: Complex Scene Generation With Diffusion Model via Composition, Painting, and Retouching
    Minghao Liu, Le Zhang, Yingjie Tian, Xiaochao Qu, Luoqi Liu, Ting Liu · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
100. Boosting Inverse Tone Mapping via Diffusion Regularization
     Xin Lu, Yufeng Peng, Chengjie Ge, Zhijing Sun, Ziang Zhou, Zishun Liao, Z. R. Li, Dong Li, Qiyu Kang, Xueyang Fu et al. · 2025 · IEEE International Conference on Computer Vision Workshops