Conditional Diffusion Models

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

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  1. LISA: Likelihood Score Alignment for Visual-condition Controllable Generation

    Jun 25, 2026Yanghao Wang, Hongxu Chen, Jiazhen Liu +4Score-Based Generative ModelingControllable Video Generation

    The Hong Kong University of Science and Technology · Huawei Research

  2. Proposal-Conditioned Latent Diffusion for Closed-Loop Traffic Scenario Generation

    Jun 25, 2026Shubham Vaijanath Phoolari, Aleyna Kara, Christoph Lauer +1Diffusion GuidanceDiffusion Model Acceleration

    Authors are with CARIAD SE, Germany. · Author is with the Institute of Automotive Engineering (FZD), TU Darmstadt, Germany. · Author is with the Technical University of Munich, Germany.

  3. Exploring the Intrinsic Geometry of Diffusion Models with Constrained Inverse Kinematics

    Jun 24, 2026Miguel Angel Rogel Garcia, Phone Thiha Kyaw, Jonathan KellyNeural Representation GeometryConditional Diffusion Models

    Institute for Aerospace Studies, University of Toronto, Toronto, Canada

  4. Sampling sea state using a diffusion model

    Jun 24, 2026Jiarong Wu, Bertrand Chapron, Laure ZannaTime Series ForecastingProbabilistic Forecasting

    Courant Institute School of Mathematics, Computing and Data Science, New York University, 251 Mercer Street, New York, 10012, NY, USA. · Laboratoire d’Oc´eanographie Physique et Spatiale (LOPS), Ifremer, 1625 route de Sainte-Anne, Plouzan´e, 29280, Bretagne, France.

  5. TensorLDM: A Component-Wise Latent Diffusion Model for Volumetric DTI Reconstruction from Sparse DWIs

    Jun 24, 2026Junhyeok Lee, Kyu Sung ChoiLatent Diffusion ModelsAccelerated MRI Reconstruction

    Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine · Department of Radiology, Seoul National University Hospital · Department of Radiology, Seoul National University College of Medicine +1

  6. Spatio-Temporal Mixture-of-Modality-Experts Diffusion for Quantitative DCE-MRI Synthesis from Incomplete MR Sequences

    Jun 24, 2026Junhyeok Lee, Kyu Sung ChoiMedical Image SynthesisMixture-of-Experts Models

    Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine · Department of Radiology, Seoul National University Hospital · Department of Radiology, Seoul National University College of Medicine +1

  7. Anatomically-conditioned Latent Diffusion Model for Data-Efficient Few-Shot Cross-Domain 3D Glioma MRI Synthesis

    Jun 24, 2026Salman Shaik, Truong Thanh Hung Nguyen, Hung CaoLatent Diffusion ModelsMedical Image Synthesis

    Analytics Everywhere Lab, University of New Brunswick, Canada

  8. Catastrophic Compositional Generation: Why Vanilla Diffusion Models Fail to Extrapolate

    Jun 22, 2026Duncan Soiffer, Chandler Squires, Yuan Guan +2OOD GeneralizationConditional Diffusion Models

    Machine Learning Department, Carnegie Mellon University · Valence Labs · Department of Computer Science, University of Manchester

  9. ARIA: Adaptive Region-Based Importance Allocation for Conditional Diffusion Distillation

    Jun 22, 2026Loay Mualem, Vinh Tong, Samir Darouich +1Diffusion Model DistillationTeacher-Student Learning

    Institute for AI, University of Stuttgart · IMPRS-IS · Institute of Theoretical Chemistry, University of Stuttgart.

  10. C^2GR: Coupled Comprehensive Generative Replay for a Continually Learnable Universal Segmentation Model

    Jun 22, 2026Wei Li, Jingyang Zhang, Guoan Wang +4Cross-Modality Medical Image SegmentationReplay-Based Continual Learning

    Shanghai Jiao Tong University · Southeast University · Stevens Institute of Technology +2

  11. Distribution-Aware Diffusion-LLM for Robust Ultra-Long-Term Time Series Forecasting

    Jun 22, 2026Falguni Ghosh, Vahid Hashemi, Bernhard KainzLong-Term Time Series ForecastingProbabilistic Forecasting

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91052, Germany · AUDI AG, Auto-Union-Straße 1, 85057 Ingolstadt, Germany · Imperial College London, London SW7 2RH, United Kingdom

  12. Bridging Self-Supervised Learning and Speech Enhancement: A Wav2Vec2-Conditioned Framework

    Jun 21, 2026Shuubham Ojha, Carol Espy-WilsonAudio Diffusion ModelsSpeech Enhancement

    Institute for Systems Research, University of Maryland, College Park

  13. 2D Versus 3D Diffusion for In Silico Training of Interventional X-ray AI Models

    Jun 19, 2026Sampath Rapuri, Jeremy Ko, Benjamin D. Killeen +2Synthetic Data AugmentationMedical Imaging

    Johns Hopkins University, Baltimore, MD 21218, USA

  14. Atomistic Language Models Understand and Generate Materials

    Jun 19, 2026Sathya Edamadaka, Krithik Ramesh, Ju Li +1Crystal Structure PredictionLanguage Modeling

    Massachusetts Institute of Technology · Lyra Labs · Lila Sciences

  15. UNITY: Attention Flow Networks for Adaptive Conditioning in Diffusion

    Jun 18, 2026Aryan Das, Koushik Biswas, Moloud Abdar +1Compositional Image GenerationConditional Diffusion Models

    VIT Bhopal, India · IIIT Delhi, India · The University of Queensland, Australia +1

  16. Repurposing a Speech Classifier for Guided Diffusion-Based Speech Generation

    Jun 18, 2026Rostislav Makarov, Timo GerkmannDiffusion Model GuidanceAudio Diffusion Models

    University of Hamburg, Germany

  17. FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows

    Jun 18, 2026Daniel Gilo, Sven Elflein, Ido Sobol +1Diffusion Model AlignmentDiffusion Models for Image Restoration

    1Technion · 2NVIDIA · University of Toronto +1

  18. MakeupMirror: Improving Facial Attribute Preservation in Diffusion Models for Makeup Transfer

    Jun 18, 2026Nefeli Andreou, Angel Martínez-González, Sabine Sternig +3Image Style TransferDiffusion-Based Image Editing

    Amazon

  19. One-Shot Novel View and Pose Human Image Synthesis via 3D Prior Guided Diffusion Model

    Jun 18, 2026Shenjian Gong, Kangkan Wang, Shanshan Zhang +1Image GenerationNovel View Synthesis

    PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094 China

  20. Approximate Structured Diffusion for Sequence Labelling

    Jun 17, 2026Nicolas Floquet, Joseph Le Roux, Nadi TomehConditional Random FieldsMorphosyntactic Tagging

    Université Sorbonne Paris Nord, CNRS, Laboratoire d’Informatique de Paris Nord, LIPN, F-93430 Villetaneuse, France

  21. Structural MRI Synthesis for Alzheimer's Disease via Conditional Diffusion on Anatomical Masks

    Jun 16, 2026Muge Zhang, Muhammad Ali Khaliq, Jamal Alsakran +2Synthetic Data AugmentationAlzheimer's Disease

    Fairleigh Dickinson University, Vancouver, BC, Canada · University of Colorado at Colorado Springs, Colorado Springs, CO, USA

  22. Constrained Diffusion Models with Primal-Dual Inference

    Jun 15, 2026Samar Hadou, Yigit Berkay Uslu, Alejandro RibeiroPrimal-Dual OptimizationConstrained Generative Modeling

    Department of Electrical and Systems Engineering University of Pennsylvania

  23. RAID: Semantic Graph Diffusion for True Cold-Start and Cross-Lingual Forecasting

    Jun 15, 2026Arunkumar V, Manoranjan Gandhudi, Gangadharan G. R. +2Time Series ForecastingRetrieval-Augmented Time Series Forecasting

    University College of Engineering, Anna University Tiruchirappalli, Tamil Nadu, India · Central University of Karnataka, India · National Institute of Technology Tiruchirappalli, India +1

  24. Unified Audio Generation and Editing via Joint Condition Modeling and Progressive Training

    Jun 15, 2026Haocheng Dong, Yuheng Lu, Cheng Gong +3Text-to-Audio GenerationAudio Editing

    Department of Electronic Engineering and Information Science, University of Science and Technology of China, China · Institute of Artificial Intelligence of China Telecom (TeleAI), China · Tianjin Key Laboratory of Cognitive Computing and Application, School of Artificial Intelligence, Tianjin University, China

  25. Lesion-DDPM: Lesion-Enhanced 3D Diffusion for MS MRI Synthesis

    Jun 13, 2026Weidong Zhang, Yongchan Jung, Shafayat Mowla Anik +5Medical Image SynthesisDiffusion MRI

    Northeastern University, Vancouver, BC · Fairleigh Dickinson University, Vancouver, BC · University of Colorado at Colorado Springs, Colorado Springs, CO +2

  26. HemExp: Clinically-Guided Latent Diffusion for Modeling Hematoma Expansion

    Jun 13, 2026Orhun Utku Aydin, Satoru Tanioka, Tzu I Chuang +7Longitudinal Medical Image AnalysisClinical Prediction

    CLAIM – Charité Lab for AI in Medicine, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany · Department of Neurosurgery, Mie Chuo Medical Center, 2158-5 Myojin-cho,2026 514-1101, Hisai,Tsu, Japan

  27. Task-Aware Environment Augmentation for Reliable Navigation via Shielded Conditional Diffusion

    Jun 13, 2026Bharawee Phoompho, Gokul Puthumanaillam, Yan Miao +4Robot NavigationConditional Diffusion Models

    University of Illinois Urbana-Champaign

  28. Multiscale Hypersonic Boundary Layer Reconstruction via Spectral Binning and Subdomain-wise Conditional Diffusion

    Jun 12, 2026Hojin Kim, Dibyajyoti Chakraborty, Takahiko Toki +2Neural Surrogate ModelingConditional Diffusion Models

    School of Mechanical Engineering, Purdue University, West Lafayette, 47907, IN, USA · College of Information Sciences and Technology, Pennsylvania State University, University Park, 16802, PA, USA · Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, 60439, IL, USA

  29. Regional Climate Model Emulation with Diffusion Approaches: What is the Added Value of Generative Machine Learning?

    Jun 12, 2026Mikel N. Legasa, Antoine Doury, Achille Gellens +4Surrogate ModelingPrecipitation Downscaling

    Laboratoire des Sciences du Climat et de l’Environnement (LSCE), CEA/CNRS/UVSQ, Universit´e Paris Saclay, UMR8212, 91191 Gif-sur-Yvette, France · CNRM, Universit´e de Toulouse, M´et´eo-France, CNRS, Toulouse, France · Institut Pierre-Simon Laplace (IPSL), FR636, Paris, France +1

  30. SmartFont: Dynamic Condition Allocation for Few-Shot Font Generation

    Jun 11, 2026Zian Yang, Zixin WangFew-Shot LearningDiffusion-Based Image Generation

    Fudan University

  31. DuET: Dual Expert Trajectories for Diffusion Image Editing

    Jun 11, 2026Lidia Troeshestova, Alexander Ustyuzhanin, Sergey KastryulinText-Guided Image EditingDiffusion-Based Image Editing

    HSE University · Yandex

  32. DiffCold: A Diffusion-based Generative Model for Cold-Start Item Recommendation

    Jun 10, 2026Kangning Zhang, Yingjie Qin, Weinan Zhang +2Cold-Start RecommendationRecommender Systems

    Shanghai Jiao Tong University, Shanghai, China · Xiaohongshu Inc., Shanghai, China

  33. Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics

    Jun 10, 2026Sam Gijsen, Michał Łukomski, Marc-André Schulz +1Diffusion TransformerTime Series Generation

    Hertie Institute for AI in Brain Health, University of Tübingen, Germany · Tübingen AI Center, University of Tübingen, Germany · Charité – Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Germany +1

  34. Cranio-Diff: Diffusion-based Cross-domain Craniofacial Reconstruction with 2D X-ray Skull Guidance and Structural Identity Constraints

    Jun 8, 2026Ravi Shankar Prasad, Naresh Gurjar, Shashank Baghel +2Cross-Modal AlignmentConditional Diffusion Models

    School of Computing and Electrical Engineering Indian Institute of Technology Mandi Himachal Pradesh, India · University Teaching Department, CSVTU Bhilai, India

  35. Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models

    Jun 7, 2026Yilin Zheng, Haowei Wang, Szu Hui Ng +1Bayesian OptimizationBlack-Box Optimization

    National University of Singapore · Singapore · Georgia Institute of Technology +1

  36. Property-Informed Diffusion-Based Text-to-Microstructure Generation

    Jun 6, 2026Bingxuan Dai, Hongsong Wang, Jie GuiMaterials ScienceConditional Diffusion Models

    School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China · School of Computer Science and Engineering, Southeast University, Nanjing 210096, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China +2

  37. Diff-CA: Separating Common and Salient Factors with Diffusion Models

    Jun 4, 2026Michaël Soumm, Alexandre Fournier Montgieux, Yunlong He +2Disentangled Representation LearningDiffusion-Based Image Editing

    INRIA at Univ. Grenoble Alpes · CEA List, Palaiseau · Télécom Paris, Institut Polytechnique de Paris

  38. FontFusion: Enhancing Generative Text in Diffusion Models with Typographic Conditioning

    Jun 4, 2026Marian Lupascu, Nipun Jindal, Ionut Mironica +1Conditional Image GenerationT2I Generation

    Adobe Research · Department of Computer Science, University of Bucharest, Romania

  39. Diffusion Models for Adaptive Sequential Data Generation

    Jun 4, 2026Haoyang Cao, Minshuo Chen, Yinbin Han +1Time Series GenerationConditional Diffusion Models

    Department of Applied Mathematics and Statistics, Data Science and AI Institute, and Mathematical Institute for Data Science, Johns Hopkins University. · Department of Industrial Engineering and Management Sciences, Northwestern University. · Department Management Science and Engineering, Stanford University.

  40. CoFi-UCGen: Coarse-to-Fine Unsupervised Conditional Generation without Label Priors

    Jun 4, 2026Shengxi Li, Zhaokun Hu, Ce Zheng +3Disentangled Representation LearningConditional Image Generation

    Department of Electronic Information Engineering, Beihang University, Beijing 100191, China · School of Cyber Science and Technology, Beihang University, Beijing 100191, China · College of Electronic Science, National University of Defense Technology, Hunan 410073, China +1

  41. DiffUNet^2: Bidirectional Conditional Diffusion for Probabilistic Scientific Spatiotemporal Modeling

    Jun 2, 2026Mengdi Chu, Jiaxin Yang, Angus G. Forbes +4Diffusion Model GuidanceProbabilistic Forecasting

    Mengdi Chu, Jiaxin Yang, and Han-Wei Shen are with the Ohio State University. · Angus G. Forbes is with NVIDIA. · Nathan Debardeleben, Earl Lawrence, Ayan Biswas are with Los Alamos National Laboratory.

  42. Conditional Latent Diffusion Model with Fourier-based Motion Modelling for Virtual Population Synthesis

    Jun 2, 2026Shaokun Lan, Haoran Dou, Jinghan Huang +53D Mesh GenerationConditional Diffusion Models

    Centre for Computational Imaging and Modelling in Medicine (CIMIM), University of Manchester, Manchester, UK

  43. Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening

    Jun 1, 2026Xinqi Bao, Jia Bi, Xin Chen +2Audio Diffusion ModelsConditional Diffusion Models

    Department of Information Science & Engineering, KTH Royal Institute of Technology, Stockholm, 114 28 Sweden · Karolinska Institutet (KI), Stockholm, Sweden · Rutherford Appleton Laboratory, United Kingdom +2

  44. Genotype-Conditioned Molecular Generation via Evidence-Grounded Multi-Objective Latent Perturbation in Diffusion Models

    May 31, 2026Brenda Nogueira, Gisela A. Gonzalez-Montiel, Nitesh V. Chawla +1Molecular OptimizationOncology

    Department of Computer Science and Engineering University of Notre Dame Notre Dame, IN, 46556 · Department of Chemistry and Biochemistry University of Notre Dame Notre Dame, IN, 46556 · Lucy Family Institute for Data & Society University of Notre Dame Notre Dame, IN, 46556

  45. DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis

    May 31, 2026Shu Long, Yanglei Gan, Xuchuan ZhouAspect-Based Sentiment AnalysisConditional Diffusion Models

    University of Electronic Science and Technology of China · Southwest Petroleum University · Southwest Minzu University

  46. GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes

    May 31, 2026Guanyu Zhou, Yao Liu, Yanglei Gan +5Event Time PredictionTemporal Point Processes

    University of Electronic Science and Technology of China, Chengdu, China

  47. Cross-Axis Feature Fusion with Joint-Wise Motion Difference Prediction for Text-Based 3D Human Motion Editing

    May 31, 2026Gyojin Han, Junmo KimHuman Motion GenerationConditional Diffusion Models

    School of Electrical Engineering, KAIST

  48. COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation

    May 31, 2026Xinlong Zhang, Jia Wei, Xiaoyu Zhang +3Diffusion TransformerConditional Diffusion Models

    College of Computer Science Zhejiang University Hangzhou, Zhejiang, China

  49. Wavelet-Fusion Diffusion Model for Multimodal Brain MRI Synthesis with Modality and Metadata Conditioning

    May 30, 2026Muhammad Nabi Yasinzai, Remika Mito, Mangor PedersenVariational AutoencodersLatent Diffusion Models

    Department of Psychology & Neuroscience, Auckland University of Technology, Auckland, New Zealand. · Department of Psychiatry, University of Melbourne, Melbourne, Victoria 3053, Australia. · Auckland University of Technology, Auckland, New Zealand.

  50. Controllable Lung Nodule Synthesis via Histogram-Regularized Latent Diffusion Models

    May 28, 2026Arunkumar Kannan, Yanbo Zhang, Han Liu +5Synthetic Data AugmentationLatent Diffusion Models

    aDigital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA · bJohns Hopkins University, Baltimore, MD, USA · cDigital Technology and Innovation, Siemens Healthineers, Erlangen, Germany +1

  51. Treatment-Conditioned Diffusion for Forecasting Neurodegenerative Disease Progression

    May 28, 2026Danylo Boiko, Viktoriia MishkurovaLongitudinal Medical Image AnalysisClinical Outcome Prediction

    Innoloft Inc. 701 Brazos Street, Austin, TX 78701, USA · Bogomolets National Medical University Beresteiskyi Avenue, 34, Kyiv, 03057, Ukraine

  52. DC-Motion: Decoupling Structure and Details via Discrete-Continuous Tokens for Human Motion Generation

    May 28, 2026Hequan Wang, Xuean Chen, Jiaxu Zhang +2Text-to-Motion GenerationHuman Motion Generation

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China · Geophysical Exploration Brigade of Hubei Provincial Geological Bureau, Wuhan 430058, China · Information Systems Technology and Design Pillar, Singapore University of Technology and Design, 487372, Singapore

  53. Three-dimensional Conditional Diffusion Models for Cosmological 21 cm Lightcone Emulation

    May 27, 2026Bin Xia, John H. WiseConditional Diffusion Models

    Center for Relativistic Astrophysics, School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA

  54. Inpainting-Style Conditional Diffusion for Multivariable Time Series Forecasting

    May 27, 2026Kourosh Kiani, S. M. MuyeenMultivariate Time Series ForecastingTime Series Forecasting

    1Electrical and Computer Engineering, Semnan University, Semnan, Iran · Electrical Engineering Department, Qatar University, Doha, Qatar

  55. Towards Controllable Image Generation through Representation-Conditioned Diffusion Models

    May 26, 2026Nithesh Chandher Karthikeyan, Jonas Unger, Gabriel EilertsenDiffusion-Based Image GenerationConditional Diffusion Models

    Linköping University, Norrköping, Sweden

  56. Representation-Conditioned Diffusion Models for Guided Training Data Generation

    May 26, 2026Nithesh Chandher Karthikeyan, Jonas Unger, Gabriel EilertsenSynthetic Data AugmentationLatent Diffusion Models

    Linkoping University

  57. High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework

    May 26, 2026Giuseppe Masi, Andrea Coletta, Novella BartoliniSynthetic Data GenerationTime Series Generation

    Sapienza University of Rome, Italy · Banca d’Italia, Italy

  58. Scheduled Style Injection: Expanding the Style-Content Pareto Frontier in Training-Free Diffusion-based Style Transfer

    May 26, 2026Amey Sunil KulkarniDiffusion Model GuidanceImage Style Transfer

    Independent Researcher

  59. EMA: Effort Metric Attention for Anatomical Effort-Guided Human Motion Diffusion

    May 23, 2026Joshua Siy, Huakun Liu, Yutaro Hirao +3Human Motion GenerationConditional Diffusion Models

    Nara Institute of Science and Technology, Ikoma, Nara, Japan

  60. Diffusion Domain Expansion: Learning to Coordinate Pre-trained Diffusion Models

    May 22, 2026Egor Lifar, Semyon Savkin, Timur Garipov +2Diffusion-Based Image GenerationConditional Diffusion Models

    MIT CSAIL, Cambridge, USA