Conditional Diffusion Models

Ask about this topic

Momentum

20 papers in the last four weeks, up 233% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 185

All topics
CardsList

  1. Position Forcing: Self-Conditioning 3D Generation

    Oct 7, 2026Ziheng Ouyang, Zeqiang Lai, Jiarui Chen +73D Shape Generation3D Diffusion Models

    VCIP, Nankai University · Tencent Hunyuan · MMLab, CUHK +3

  2. Noise Your Prompt: Noising Conditioning Tokens in Continuous Diffusion Language Models

    Oct 6, 2026Justin JungContinuous Diffusion Language ModelsConditional Diffusion Models

    Lateral Intelligence

  3. Learning Transition Kernels of Jump-Diffusion Processes with Conditional Diffusion Models

    Oct 6, 2026Yuzhen Zhao, Yating Liu, Quentin GuibertStochastic Differential EquationsConditional Distribution Estimation

    CEREMADE, CNRS, Universite Paris-Dauphine, PSL, 75016 Paris, France

  4. SNR-Gated LSTM-Conditioned Diffusion Model for MIMO Channel Estimation

    Oct 6, 2026Jixing Zhou, Xinming HuangChannel EstimationConditional Diffusion Models

    Worcester Polytechnic Institute Worcester, MA, USA

  5. Feature Information Dynamics in Diffusion

    Oct 6, 2026Jia-Shu Pan, Tao Zhang, Yufei Huang +2Conditional Diffusion ModelsDiffusion Models

    Department of Artificial Intelligence, School of Engineering, Westlake University · Zhejiang University · Research School of Astronomy and Astrophysics, Australian National University

  6. SALD: Self-Referenced Advantage Learning for Diffusion Models

    Oct 1, 2026Aryan Das, Surjo Dey, Koushik Biswas +4T2I GenerationConditional Diffusion Models

    Indian Institute of Technology Kanpur, India · Rajiv Gandhi Institute of Petroleum Technology, India · IIIT Delhi, India +2

  7. Towards Fast and Disentangled Counterfactuals for Visual Foundation Models

    Oct 1, 2026Sidney Bender, Benedikt Kunz, Ahmed Zeid +3Disentangled Representation LearningCounterfactual Explanations

    Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany · Machine Learning Group, Technische Universität Berlin, Berlin, Germany

  8. MIND: Marginal-Invariant Neural Dependency Diffusion for Mixed-Type Tabular Generation

    Sep 30, 2026Pengfei Li, Mohammad KhalilCopula ModelsSynthetic Tabular Data Generation

    Centre for the Science of Learning & Technology (SLATE), University of Bergen, Bergen, Norway

  9. Proper Scoring Rule-based Diffusion for Probabilistic Weather Forecasting

    Sep 29, 2026Joonhyeong Park, Giung Nam, Hyungi Lee +3Probabilistic ForecastingProper Scoring Rules

    KAIST · Kookmin University · New York University

  10. ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation

    Sep 29, 2026Fariza Rashid, Duc Van Le, Rahat Masood +3Time Series ImputationConditional Diffusion Models

    University of Sydney · University of New South Wales

  11. Physics-Guided Conditional Diffusion Model for Rare Event Synthesis and Diagnosis for the Water-Gas Shift Reaction

    Sep 28, 2026Md Abrar Rafid Siddique, Bibek Aryal, Qiugang LuPhysics-Informed Generative ModelingSynthetic Anomaly Generation

    Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA

  12. Retrieval-Augmented Diffusion Modeling for Stochastic Discount Factor Portfolios

    Sep 28, 2026Kelvin J. L. Koa, Xinyang Li, Ke-Wei HuangQuantitative FinancePortfolio Optimization

    National University of Singapore Asian Institute of Digital Finance

  13. Cyclostationary Phase Conditioning for Medical Time Series Diffusion

    Sep 28, 2026Samuel Ruiperez-Campillo, Michele Copetti, Jorge da Silva Goncalves +3Time Series ImputationDiffusion-Based Inverse Problems

    Dept. of Computer Science ETH Zurich

  14. Admissible Diffusion for Multimodal Interventional Trajectories

    Sep 28, 2026Xing Han, Shravan Chaudhari, Jiarui Shao +2Constrained Generative ModelingCausal Inference

    Johns Hopkins University · Massachusetts Institute of Technology · Bayesian Health

  15. ResDiffFRG: Residual Diffusion for Multiple Appropriate Facial Reaction Generation

    Sep 27, 2026Shizhe Liu, Jiayan Gu, Xiangyu Kong +1Conditional Diffusion ModelsDiffusion Models

    Department of Computer Science, University of Oxford, Oxford, United Kingdom · School of Artificial Intelligence and Big Data, Hefei University, Hefei, China · Department of Computer Science, University of Exeter, Exeter, United Kingdom

  16. Domain-Adapted Diffusion Models for Conditional Independence Testing

    Sep 27, 2026Yanfeng Yang, Junda Zhao, Yijie Gao +8Multi-Source Domain AdaptationDomain Adaptation

    The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan · The Institute of Statistical Mathematics, Tokyo, Japan · East China Normal University, Shanghai, China +4

  17. ZoomDiff: A High-Fidelity Diffusion Model for Dual-Camera Smooth Zooming

    Sep 23, 2026Jiayi Zhang, Renlong Wu, Yukang Ding +2Diffusion Model GuidanceVideo Diffusion Models

    Harbin Institute of Technology · Taobao, Alibaba Group

  18. CARE: Condition-Aware Representation Regularization for Diffusion Models

    Sep 23, 2026Fengjia Guo, Zhuoyi Yang, Jie TangConditional Image GenerationConditional Diffusion Models

    Department of Computer Science and Technology, Tsinghua University, Beijing, China.

  19. Conditional Tensor Diffusion: Distributional Counterfactual Learning and Inference

    Sep 22, 2026Xinbing Kong, Zeyu Li, Junfan Mao +1Causal Counterfactual GenerationLow-Rank Matrix Decomposition

    Southeast University · University of Science and Technology of China

  20. MGRD: Compact morphology-gated residual diffusion for variance-aware cross-domain neurite forecasting

    Sep 21, 2026Tsung Yeh Hsieh, Cosmin Anitescu, Chunghwan Kim +2Surrogate ModelingUncertainty Quantification

    Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA · Department of Biomedical Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA · Department of Civil and Environmental Engineering, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA

  21. Rethinking Diffusion Segmentation: When Does It Rely on Its Noisy State, and Does Diffusion Matter?

    Sep 21, 2026Hengzhuo Yang, Yuming Zeng, Yuling YangConditional Diffusion ModelsDiffusion Models

    Department of Mathematics, Northeastern University, Boston, MA 02115 USA · Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115 USA

  22. MUMINS: Metadata-conditioned Uncertainty-aware Medical Image Next-state Synthesis

    Sep 15, 2026Anna Oliveras, Roger Marí, Rafael Redondo +7Medical Image AnalysisLongitudinal Medical Image Analysis

    Eurecat, Centre Tecnol`ogic de Catalunya, Barcelona, Spain · Dept. de Matem`atiques i Inform`atica, Universitat de Barcelona, Barcelona, Spain · Barcelona Supercomputing Center (BSC), Barcelona, Spain +1

  23. FAHCD-Net: Frequency-Adaptive Heatmap-Conditional Diffusion Networks for Robust Facial Landmark Detection

    Sep 15, 2026Jun Wan, Jiwei Hu, Shengkai Hu +1Frequency-Domain Feature LearningConditional Diffusion Models

    School of Information Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China

  24. LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics

    Sep 12, 2026Mariia Baranova, Adrien Petralia, Etienne Le Naour +3Synthetic Data GenerationBuilding Energy Management

    EDF R&D, Palaiseau, France · Université Paris Cité, F-75006 Paris, France

  25. RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series Imputation

    Sep 10, 2026Ramiro Valdes Jara, David Chapman, Adam MeyersTime Series ImputationConditional Diffusion Models

    Department of Industrial and Systems Engineering, University of Miami, United States of America · Department of Computer Science, University of Miami, United States of America

  26. Conditioning Degenerate Diffusion Models

    Sep 3, 2026Uğur Aydın, Tamer BaşarDiffusion Model GuidanceStochastic Optimal Control

    Department of Electrical and Computer Engineering and Coordinated Science Laboratory University of Illinois Urbana Champaign Illinois, IL 61801, USA

  27. SurgeGen: A Hybrid Generative Diffusion Framework for Storm Surge Scenario Synthesis

    Sep 3, 2026Shunan Zheng, John J. HasenbeinSurrogate ModelingPDE Surrogate Modeling

    Operations Research and Industrial Engineering University of Texas at Austin Austin, TX, USA

  28. A Study of Conditional Diffusion Models for Open-Loop Control under Dry Friction and Stiction

    Sep 1, 2026Eric Aislan AntoneloDiffusion PolicyConditional Diffusion Models

    Department of Automation and Systems Engineering (EAS) Federal University of Santa Catarina (UFSC) Florian´opolis, SC, Brazil · SC, Brazil

  29. Diffusion-Based Refinement for Kilometer-Scale Probabilistic Precipitation Nowcasting

    Aug 31, 2026Dohyun Park, Changhoon Song, Tengyuan Chang +2Precipitation ForecastingProbabilistic Forecasting

    Department of Mathematical Sciences, Seoul National University, Seoul, Republic of Korea. · Research Institute of Mathematics, Seoul National University, Seoul,2026 Republic of Korea. · Department of Environmental Management, Seoul National University, Seoul, Republic of Korea.

  30. SimCast-S2S: A Computationally Efficient Diffusion Model for Subseasonal Precipitation Forecasting

    Aug 27, 2026Hiep V. Dang, Antonios MamalakisPrecipitation ForecastingLatent Diffusion Models

    Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22903, United States · School of Data Science, Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22903, United States

  31. Dual Modality Prompted Diffusion Priors for Zero Shot Hyperspectral Pansharpening

    Aug 12, 2026Pengwei Xie, Fei Zhu, Jiajun Li +4Diffusion Models for Image RestorationHyperspectral Image Super-Resolution

    School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China · School of GeoAI and Hinton STAI Institute, and the Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China · Peking University, Beijing 100871, China +3

  32. Toward CT-Equivalent Image Quality in Low-Dose Radiotherapy Planning: Conditional Diffusion-Based CBCT-to-CT Synthesis and the Impact of CBCT Input Representation

    Aug 9, 2026Alzahra Altalib, Chunhui Li, Christopher Hamill Taylor +2Cone-Beam CTMedical Image Synthesis

    Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan · School of Science and Engineering, University of Dundee, Scotland, UK · NHS Ninewells Dundee, Scotland, UK +1

  33. FreCast: Refining Radar Echo Intensity via Phase-Preserving Amplitude Residual Diffusion for Precipitation Nowcasting

    Aug 9, 2026Heping Fang, Zihuai Yin, Kaicheng Mao +2Precipitation ForecastingSpatiotemporal Forecasting

    Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, China · Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China · Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering and the Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, China

  34. Conditional Diffusion for Nonparametric Instrumental Variable Quantile Regression

    Aug 8, 2026Xingdong Feng, Xinhong Jiang, Yuling Jiao +2Quantile RegressionNonparametric Regression

    School of Statistics and Data Science, Institute of Data Science and Statistics, Shanghai University of Finance and Economics, Shanghai 200433, China · School of Mathematics and Statistics, Wuhan University, Wuhan, 430072, China · School of Artificial Intelligence, and Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan, 430072, China +1

  35. When Diffusion Models Forget Who You Are: Identity Preservation in Face Inpainting under Large Occlusions

    Aug 5, 2026Feng Ding, Shuhuai Xie, Yue Zhou +3Diffusion Model GuidanceImage Inpainting

    Nanchang University · Shenzhen University · Huizhong University +1

  36. DiffImaginE: Imagine to Verify Entity Types with Diffusion

    Aug 4, 2026Feng Zhang, Feiyu Han, Rongxin Yang +11Named Entity RecognitionConditional Diffusion Models

    1Fuzhou University · 2Chinese Academy of Sciences · 6Fullive Innovation (Beijing) AI Technology Co., Ltd. +5

  37. Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors

    Aug 1, 2026Alexander ScheinkerUncertainty QuantificationLatent Diffusion Models

    Los Alamos National Laboratory Los Alamos, NM, 87544, USA

  38. MBDiff: Multi-view Behavior-aware Diffusion Model for Probabilistic Utility Data Imputation

    Jul 31, 2026Rongchao Xu, Lin Jiang, Dahai Yu +2Time Series ImputationIncomplete Data Imputation

    Department of Computer Science, Florida State University, Tallahassee, FL, USA

  39. Beyond Edge Maps: Wavelet-Domain Conditioning for Multi-Adapter Map-to-Satellite Diffusion

    Jul 29, 2026Arisha PrasainImage-to-Image TranslationRemote Sensing

    Department of Electronics and Computer Engineering Pulchowk Engineering Campus, Tribhuvan University Lalitpur, Nepal

  40. Catalyst Diffusion Transformer: Generative Inverse Design of Heterogeneous Catalysts

    Jul 27, 2026Hayoung Doo, Dong Hyeon Mok, Seoin Back +1Diffusion TransformerMaterials Science

    Department of Chemical Engineering and Materials Science, Ewha Womans University, Seoul 03760, Republic of Korea · Department of Chemical Engineering, Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, 03760, Republic of Korea · Institute for Multiscale Matter and Systems (IMMS), Ewha Womans University, Seoul 03760, Republic of Korea +4

  41. MTVDiff: Multimodal Conditional Latent Diffusion for Enhanced Thermal-to-Visible Face Translation

    Jul 22, 2026Zhiyuan Xia, Haojie Li, Jingyu Lin +2Image-to-Image TranslationLatent Diffusion Models

    School of Computer Science and Engineering, Southeast University, Nanjing, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China · Monash University, Australia

  42. Semi-Supervised Conditional Diffusion via Label Augmentation

    Jul 18, 2026Jin Su, Yuan Gao, Yong Zhou +1Data AugmentationSemi-Supervised Learning

    aDepartment of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China · bSchool of Statistics and Data Science, Nankai University, Tianjin, China · cSchool of Statistics, East China Normal University, Shanghai, China +1

  43. CLDRoute: Conditional Latent Diffusion for Routability Map Generation in Physical Design

    Jul 18, 2026Kiran Thorat, Nicole Meng, Caiwen Ding +2Conditional Diffusion Models

    University of Connecticut · Tufts University · University of Minnesota Twin Cities

  44. Weakly-Supervised RGB-D Salient Object Detection via SAM-driven Pseudo Annotation and State Space Interaction-based Diffusion

    Jul 16, 2026Wenqi Si, Gongyang Li, Shixiang Shi +1Weakly Supervised Image SegmentationSalient Object Detection

    School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China · School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798

  45. Physics-Informed Diffusion for Biomechanically Plausible 3D Sign Language Generation

    Jul 16, 2026Emanuele Colonna, Moises Diaz, Gennaro Vessio +2Physics-Informed Diffusion ModelsHuman Motion Generation

    Department of Computer Science, University of Bari Aldo Moro, Bari, Italy · Institute for Technological Development and Innovation in Communications, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

  46. ReDiTT: Retrieval Augmented Conditional Diffusion Transformers for Asynchronous Time Series

    Jul 14, 2026Saiyue Lyu, Zhitian Zhang, Ruizhi Deng +1Irregular Time-Series ModelingEvent Time Prediction

    Department of Computer Science, University of British Columbia · Work done during an internship at RBC Borealis. · RBC Borealis

  47. Generating Developable 3D Molecules via Pocket-Conditioned Diffusion and Property-Aware Optimization

    Jul 14, 2026Ruoxi Gao, Jiangweizhi Peng, Ziqi Chen +10Molecular OptimizationStructure-Based Drug Design

    Computer Science and Engineering, The Ohio State University, Columbus, OH 43210. · Industrial and System Engineering, University of Minnesota, Minneapolis, MN 55455. · Google Cloud, Google LLC, Mountain View, CA 94043. +6

  48. Feature-Space Guided Diffusion for Realistic Ultrasound Image Synthesis

    Jul 13, 2026Marina Domínguez, Nélida Mirabet-Herranz, Valery NaranjoDiffusion Model GuidanceDiffusion Guidance

    Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, HUMAN-tech, Universitat Politècnica de València, Valencia, Spain · Artikode Intelligence S.L., Valencia, Spain

  49. The Devil Is in the Leakage: A Disentangled Dual-Purification Framework for High-Fidelity Hairstyle Transfer

    Jul 13, 2026Jijie Li, Jiankuo Zhao, Xiangyu Zhu +1Adversarial Representation LearningImage Style Transfer

    SAI, UCAS; MAIS, CASIA Beijing, China · CAIR, HKSIS, CAS Hong Kong, China · SCSE, FIE, M.U.S.T Macau, China

  50. GenDiff: A Dose and Anatomy Aware Diffusion Model with Structural Prior Refinement for Low-Dose CT Reconstruction and Generalization

    Jul 11, 2026Md Imam Ahasan, Guangchao Yang, A F M Abdun Noor +3Domain GeneralizationImage Reconstruction

    College of Computer Science, Chongqing University, Chongqing, China · Department of Software Engineering, Daffodil International University, Bangladesh · Faculty of Information Science & Technology, Multimedia University, Malaysia

  51. Generating Personalized Lower-Limb Kinematics Across Walking Speeds Using Subject-Conditioned Diffusion

    Jul 8, 2026Diya Dinesh, Adrian Krieger, Changseob Song +3Gait AnalysisHuman Motion Generation

    School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213 USA · Department of Mechanical Engineering, Carnegie Mellon University, USA · Woodruff School of Mechanical Engineering and the Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA 30332 USA

  52. Generative Diffusion Models of Stochastic Graph Signals

    Jul 7, 2026Yiğit Berkay Uslu, Samar Hadou, Sergio Rozada +2Graph Neural NetworksFinancial Forecasting

    Dept. of Electrical and Systems Eng., University of Pennsylvania, Philadelphia, PA 19104 USA · Department of Signal Processing and Communications, King Juan Carlos University, Madrid, Spain

  53. Generative wave propagator

    Jul 5, 2026Shijun Cheng, Tariq AlkhalifahPDE Surrogate ModelingOne-Step Generative Modeling

    Division of Physical Science and Engineering King Abdullah University of Science and Technology Thuwal 23955-6900, Saudi Arabia

  54. IPDiff: Diffusion-driven ORSI Salient Object Detection with Information Reconstruction and Multi-Prior Guidance

    Jul 4, 2026Gongyang Li, Zhen Bai, Runmin Cong +3Salient Object DetectionDiffusion Guidance

    School of Communication and Information Engineering, Shanghai University, Shanghai, China · Department of Medical Equipment, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China · School of Control Science and Engineering, Shandong University, Jinan, China +2

  55. CONFLUX: A Latent Diffusion Model for 3D Chest-CT Synthesis with RL Post-Training

    Jul 3, 2026Max Van Puyvelde, Halil Ibrahim Gulluk, Wim Van Criekinge +1Latent Diffusion ModelsMedical Image Synthesis

    Department of Biomedical Data Science, Stanford University School of Medicine · Department of Mathematical Modelling, Statistics & Bioinformatics, Ghent University · Department of Electrical Engineering, Stanford University

  56. Rethinking Conditional Generation for Underwater Salient Object Detection

    Jul 2, 2026Hua Li, Yongjie Weng, Yutong Li +3Salient Object DetectionConditional Diffusion Models

    School of Computer Science and Technology, Hainan University, Haikou 570228, China · School of Control Science and Engineering and the Key Laboratory of Machine Intelligence and System Control, Ministry of Education, Shandong University, Jinan, Shandong 250061, China · School of Data Science, Lingnan University, Hong Kong, China

  57. Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication

    Jul 1, 2026Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret +1Digital Image ForensicsDiffusion-Based OOD Detection

    imagine, LIRIS · Universit´e Lumi`ere Lyon 2, CNRS, INSA Lyon, Universite Claude Bernard Lyon 1 LIRIS, UMR 5205 Lyon, France

  58. AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation

    Jun 30, 2026Eric Ji, Qiran Hu, Wufei Ma +4Synthetic Data GenerationDiffusion-Based Image Generation

    University of Illinois Urbana-Champaign · Johns Hopkins University · College of Engineering and Computer Science, VinUniversity

  59. T2LDM++: A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation

    Jun 29, 2026Wentao Qu, Qi Zhang, Chenxu Wang +5Diffusion Model GuidanceText-to-3D Generation

    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China. · Faculty of Data Science, City University of Macau, Macau, 999078, China. · School of Computer Science and Technology, Beijing Institute of Technology, Beijing,2026 100081, China. +3

  60. PCGD: Physics-Guided Conditional Graph Diffusion for TCAD Device Simulation

    Jun 28, 2026Yihan Zhang, Zhiteng Zhang, Kun Chen +1PDE Surrogate ModelingPhysics-Informed ML