Conditional Diffusion Models

Follow this topic 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

Latest papers 185

All topics

TGSD: Topology-Guided State-Space Diffusion Framework for EEG Spatial Super-Resolution
May 22, 2026Zijian Kang, Weiming Zeng, Yueyang Li +4Electroencephalography Conditional Diffusion Models
Lab of Digital Image and Intelligent Computation, Shanghai Maritime University, Shanghai 201306, China · Department of Department of Language Science and Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China · Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China
SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis
May 21, 2026Stanislav R. Kirpichenko, Andrei V. Konstantinov, Lev V. UtkinSurvival Analysis Conditional Diffusion Models
Peter the Great St.Petersburg Polytechnic University
PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models
May 21, 2026Jose Edgar Hernandez Cancino Estrada, Mauro Díaz Lupone, Žiga Emeršič +3Latent Diffusion Models Image Generation
University of Ljubljana, Faculty of Computer and Information Science, Ljubljana, Slovenia · University of Ljubljana, Faculty of Electrical Engineering, Ljubljana, Slovenia
Diverse Yet Consistent: Context-Guided Diffusion with Energy-Based Joint Refinement for Multi-Agent Motion Prediction
May 21, 2026Lei Chu, Yuhuan ZhaoMulti-Agent Trajectory Prediction Human Motion Generation
University of Southern California, Los Angeles, CA, USA
EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis
May 19, 2026Alzahra Altalib, Chunhui Li, Haytham Ahmad Alewaidat +3Physics-Informed Diffusion Models Cone-Beam CT
School of Science and Engineering, University of Dundee UK · Faculty of Applied Medical Sciences, Jordan University of Science and Technology · Experia Healthcare, Jordan +1
AirfoilGen: A valid-by-construction and performance-aware latent diffusion model for airfoil generation
May 19, 2026Zhijie Yang, Min Tang, Peng Du +1Latent Diffusion Models Conditional Diffusion Models
State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, 310027, China
Physics Guided Conditional Diffusion Framework for Generative Inverse Design of Manufacturable Metasurface based Absorbers
May 19, 2026Vineetha Joy, Jamshed Palai, Satwik Sahu +3Physics-Informed Generative Modeling Physics-Informed ML
Centre for Electromagnetics, CSIR-National Aerospace Laboratories, Kodihalli, Bangalore 560017 · Birla Institute of Technology and Science, Pilani, Rajasthan 333031 · Indian Institute of Technology, Bombay, Maharashtra 400076
VAMP-Diff: VampPrior Latent Diffusion for Photoplethysmography Modeling
May 17, 2026Fatemeh Ghasemi Balouei, Nathan Willemsen, Mahesh Banavar +1Latent Diffusion Models Photoplethysmography
Department of Electrical and Computer Engineering, Clarkson University, Potsdam, USA · Data Science, Worcester Polytechnic Institute, Worcester, USA · Department of Computer Science, Data Science, and Artificial Intelligence, Worcester Polytechnic Institute, Worcester, USA
ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation
May 17, 2026Zhikang Chen, Yue Wang, Sen Cui +4Conditional Diffusion Models Clinical Risk Prediction
University of Oxford · Tsinghua University · Southern University of Science and Technology
StippleDiffusion: Capacity-Constrained Stippling using Controlled Diffusion
May 15, 2026Ofir Gilad, Aleksander Plocharski, Przemyslaw Musialski +1Constrained Generative Modeling Diffusion Sampling
Ben Gurion University of the Negev, Israel · Warsaw University of Technology, and Akces NCBR, Poland · Akces NCBR, Poland +1
DealMaTe: Multi-Dimensional Material Transfer via Diffusion Transformer
May 15, 2026Nisha Huang, Yizhou Lin, Jie Guo +3Diffusion Transformer Diffusion-Based Image Editing
Tsinghua University, China · Pengcheng Laboratory, China · National Cheng-Kung University, Taiwan +2
MaTe: Images Are All You Need for Material Transfer via Diffusion Transformer
May 15, 2026Nisha Huang, Henglin Liu, Yizhou Lin +5Diffusion Transformer Diffusion-Based Image Editing
Tsinghua University · PengCheng Laboratory · Lenovo Research +1
HDRFace: Rethinking Face Restoration with High-Dimensional Representation
May 14, 2026Zirui Wang, Xianhui Lin, Yi Dong +7Diffusion Models for Image Restoration Diffusion Model Guidance
City University of Hong Kong · vivo BlueImage Lab, vivo Mobile Communication Co., Ltd
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
May 14, 2026Ziyu Xu, Zijian Zhang, Liang Wang +4Molecular Generation Conditional Diffusion Models
NLPR, MAIS, Institute of Automation, Chinese Academy of Sciences, Beijing, China · School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China +1
Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State Replacement
May 14, 2026Injin Kong, Hyoungjoon Lee, Yohan JoRepresentation Geometry Diffusion Language Models
Graduate School of Data Science, Seoul National University · Department of Biosystems & Biomaterials Science and Engineering, Seoul National University
Coordinating Multiple Conditions for Trajectory-Controlled Human Motion Generation
May 13, 2026Deli Cai, Haoyang Ma, Changxing DingHuman Motion Generation Conditional Diffusion Models
School of Electronic and Information Engineering, South China University of Technology, 381 Wushan Road, Tianhe District, Guangzhou 510000, P.R. China · Pazhou Lab, Guangzhou 510330, China
Seconds-Aligned PCA-DAC Latent Diffusion for Symbolic-to-Audio Drum Rendering
May 13, 2026Konstantinos Soiledis, Maximos Kaliakatsos Papakostas, Dimos Makris +1Latent Diffusion Models Symbolic Music Generation
1Dept. of Music Technology and Acoustics, Hellenic Mediterranean University, Rethymno & Athens, Greece · 2Athena RC, Athens, Greece
Generative Motion In-betweening by Diffusion over Continuous Implicit Representations
May 12, 2026Shiyu Fan, Paul Henderson, Edmond S. L. HoImplicit Neural Representations Latent Diffusion Models
School of Computing Science, University of Glasgow, United Kingdom.
Confidence-Guided Diffusion Augmentation for Enhanced Bangla Compound Character Recognition
May 11, 2026Md. Sultan Al RayhanSynthetic Data Augmentation Optical Character Recognition
Department of Computer Science and Engineering East West University, Dhaka, Bangladesh
TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation
May 10, 2026Hanqun Cao, Aastha Pal, Sophia Tang +4Molecular Generation Protein Design
Department of Computer Science and Engineering, The Chinese University of Hong Kong · Department of Bioengineering, University of Pennsylvania · Department of Computer and Information Science, University of Pennsylvania +1
Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning
May 10, 2026Ziquan Wei, Tingting Dan, Guorong WuHealthcare Digital Twins
Department of Computer Science 2Department of Psychiatry University of North Carolina at Chapel Hill
Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study
May 10, 2026Yuhan Wang, Zihan Li, Han Liu +7Diffusion Model Alignment Conditional Diffusion Models
1UC Santa Cruz · 2Siemens Healthineers · University of Washington
MoCoTalk: Multi-Conditional Diffusion with Adaptive Router for Controllable Talking Head Generation
May 8, 2026Xinyan Ye, Jiankang Deng, Abbas EdalatVideo Diffusion Models Talking Head Generation
Imperial College London London, UK
R2H-Diff: Guided Spectral Diffusion Model for RGB-to-Hyperspectral Reconstruction
May 7, 2026Songyu Ding, Ronggiang Zhao, Mingchun Sun +1Hyperspectral Imaging Diffusion-Based Inverse Problems
Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China · State Key Laboratory of Smart Farm Technologies and Systems, Harbin 150001, China
Inverse Design of Multi-Layer Sub-Pixel-Resolution RF Passives Through Grayscale Diffusion with Flexible S-Parameter Conditioning
May 6, 2026Tommaso Dreossi, Christopher M. Bryant, Hao Liu +4Conditional Diffusion Models Inverse Design
Arena Physica New York, NY, USA
PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution
May 5, 2026Onkar Jadhav, Tim French, Matthew Rayson +1Uncertainty Quantification Proper Orthogonal Decomposition
School of Earth and Oceans, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia · School of Physics, Mathematics and Computing, Computer Science and Software Engineering, University of Western Australia, Crawley, WA, Australia.
Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion
May 4, 2026Amirhosein Javadi, Shirin Saeedi Bidokhti, Tara JavidiLearned Image Compression Video Diffusion Models
Department of Electrical and Computer Engineering University of California San Diego · Department of Electrical and Systems Engineering University of Pennsylvania · Department of Electrical and Computer Engineering2026 University of California San Diego
Disentangled Anatomy-Disease Diffusion (DADD) for Controllable Ulcerative Colitis Progression Synthesis
May 3, 2026Umut Dundar, Alptekin TemizelEndoscopy Disentangled Representation Learning
Graduate School of Informatics Middle East Technical University, Turkey
Phase-map synthesis from magnitude-only MR images using conditional score-based diffusion models with application in training of accelerated MRI reconstruction models
May 2, 2026M. Berk Sahin, Dilek Yalcinkaya, Abolfazl Hashemi +1Accelerated MRI Reconstruction Magnetic Resonance Imaging
Purdue University
IdentiFace: Multi-Modal Iterative Diffusion Framework for Identifiable Suspect Face Generation in Crime Investigations
May 1, 2026Weichen Liu, Yixin Yang, Changsheng Chen +1Diffusion Sampling Image Generation
Southeast University · Nanjing, China · Shenzhen MSU-BIT University +1
Fusing Urban Structure and Semantics: A Conditional Diffusion Model for Cross-City OD Matrix Generation
May 1, 2026Bin Chen, Zhuoya Meng, Fang Yang +5Intelligent Transportation Systems Conditional Diffusion Models
Institute of Intelligent Computing, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, Sichuan, China · College of Systems Engineering, National University of Defense Technology, Changsha, 410073, Hunan, China · Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China +1
Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model
Apr 29, 2026Qi Li, Yong Huang, Hui LiConditional Diffusion Models Structural Health Monitoring
Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China · Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China
Simple Self-Conditioning Adaptation for Masked Diffusion Models
Apr 28, 2026Michael Cardei, Huu Binh Ta, Ferdinando FiorettoMasked Diffusion Models Diffusion Model Fine-Tuning
University of Virginia
GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution
Apr 28, 2026Fabio D'Oronzio, Federico Putamorsi, Leonardo Zini +2Diffusion Models for Image Restoration Diffusion Model Fine-Tuning
University of Modena and Reggio Emilia, Italy
Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds
Apr 28, 2026Liuzhuozheng Li, Zhiyuan Zhan, Shuhong Liu +5Diffusion Model Sampling Conditional Diffusion Models
SGIT AI Lab · UTokyo · RIKEN AIP +4
Generative diffusion models for spatiotemporal influenza forecasting
Apr 27, 2026Joseph Lemaitre, Justin LesslerEpidemic Forecasting Spatiotemporal Forecasting
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA · Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
CA-IDD: Cross-Attention Guided Identity-Conditional Diffusion for Identity-Consistent Face Swapping
Apr 27, 2026Md Shohel Rana, Tanoy DebnathImage Generation Identity-Preserving Image Generation
School of Computing
BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning
Apr 27, 2026Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora +3Diffusion Sampling Molecular Generation
Indian Institute of Technology Delhi · Indian Institute of Technology Ropar · Indian Institute of Science Bengaluru
A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models
Apr 23, 2026Max Defez, Filippo Quarenghi, Mathieu Vrac +2Video Super-Resolution Conditional Diffusion Models
Faculty of Geosciences and Environment University of Lausanne Lausanne, VD, Switzerland · Laboratory for Climate and Environmental Sciences Gif-sur-Yvette, France · Department of Computer Science University of California Irvine, California, United States of America
Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
Apr 23, 2026Luis Barba, Johannes Kirschner, Benjamin BejarCone-Beam CT 3D Medical Imaging
Swiss Data Science Center (SDSC) in Paul Scherrer Institute (PSI), Villigen, Switzerland. · Swiss Data Science Center (SDSC) and ETH Zurich, Switzerland. · Swiss Data Science Center (SDSC) and Paul Scherrer Institute (PSI), Villigen, Switzerland.
DCMorph: Face Morphing via Dual-Stream Cross-Attention Diffusion
Apr 23, 2026Tahar Chettaoui, Eduarda Caldeira, Guray Ozgur +3Identity-Preserving Image Generation Conditional Diffusion Models
Fraunhofer Institute for Computer Graphics Research IGD, Germany · TU Darmstadt, Germany · Norwegian University of Science and Technology (NTNU), Norway
Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion Models
Apr 22, 2026Ruihan Zhou, Zishi Zhang, Jinhui Han +2Time Series Forecasting Conditional Diffusion Models
Guanghua School of Management, Peking University, Beijing 100871, China · Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong SAR, China
MMControl: Unified Multi-Modal Control for Joint Audio-Video Generation
Apr 21, 2026Liyang Li, Wen Wang, Canyu Zhao +4Diffusion Model Guidance Audio-Video Generation
Zhejiang University, Hangzhou, China
Training-inference input alignment outweighs framework choice in longitudinal retinal image prediction
Apr 18, 2026Liyin Chen, Nazlee Zebardast, Mengyu Wang +2Medical Imaging Image-to-Image Translation
Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA · Broad Institute of MIT and Harvard, Cambridge, MA, USA · Harvard Ophthalmology AI Lab, Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USA +1
Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining
Apr 14, 2026Junfeng Xia, Wenhao Ye, Xuanye Pan +3Medical Imaging Foundation Models Diffusion Transformer
Department of Biomedical Engineering, Southern University of Science and Technology, China · School of Biomedical Engineering, Shenzhen University, China
ML-based approach to classification and generation of structured light propagation in turbulent media
Apr 4, 2026Aokun Wang, Anjali Nair, Zhongjian Wang +1Synthetic Data Augmentation Conditional Diffusion Models
Division of Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, 637371 Singapore · Committee on Computational and Applied Mathematics, University of Chicago, Chicago, IL 60637 USA · Departments of Statistics and Mathematics, University of Chicago, Chicago, IL 60637 USA
Emotion Diffusion Classifier with Adaptive Margin Discrepancy Training for Facial Expression Recognition
Mar 31, 2026Rongkang Dong, Cuixin Yang, Cong Zhang +2Adversarial Robustness Facial Expression Recognition
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong · School of Control Science and Engineering, Shandong University
Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays
Mar 27, 2026Martin Rath, Morteza Ghahremani, Yitong Li +33D Reconstruction Medical Image Synthesis
Technical University of Munich (TUM), Germany · Munich Center for Machine Learning (MCML), Germany · University of Western Australia (UWA), Australia
SCALE:Scalable Conditional Atlas-Level Endpoint transport for virtual cell perturbation prediction
Mar 18, 2026Shuizhou Chen, Lang Yu, Xueqin Lin +12Representation Learning Single-Cell Perturbation Modeling
1Shanghai Artificial Intelligence Laboratory
High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator
Feb 13, 2026Haiwen Guan, Dibyajyoti Chakraborty, Moein Darman +3Climate Science Climate Modeling
1Information Sciences and Technology, The Pennsylvania State University, University Park, Pennsylvania · Department of Applied Mathematics, University of California, Santa Cruz, California · 3Allen Institute for Artificial Intelligence (AI2), Seattle, Washington +1
Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles
Feb 13, 2026Max Bruninx, Diederik van Binsbergen, Timothy Verstraeten +2Gradient-Boosted Decision Trees Ensemble Learning
Vrije Universiteit Brussel, Brussels, Belgium · Norwegian University of Science and Technology, Trondheim, Norway
Anatomically Guided Latent Diffusion for Brain MRI Progression Modeling
Jan 21, 2026Cheng Wan, Bahram Jafrasteh, Ehsan Adeli +2Latent Diffusion Models Longitudinal Medical Image Analysis
Cornell University · Weill Cornell Medicine · Stanford University +1
CoDi -- an exemplar-conditioned diffusion model for low-shot counting
Dec 23, 2025Grega Šuštar, Jer Pelhan, Alan Lukežič +1Object Counting Few-Shot Learning
Faculty of Computer and Information Science, University of Ljubljana, Slovenia
EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting
Dec 17, 2025Zijiang Yan, Yixiang Huang, Jianhua Pei +2Multivariate Time Series Forecasting Conditional Diffusion Models
department of Electrical Engineering and Computer Science, York University, Toronto, Canada · School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China · China Southern Grid Electric Power Dispatch Control Center, Guangzhou, China +3
Early Estimation of Language to Latent Alignment in Diffusion Models
Dec 9, 2025Vasco Ramos, Regev Cohen, Idan Szpektor +1Diffusion Model Alignment Vision-Language Alignment
NOVALINCS, NOVA University of Lisbon, Portugal · Google Research
SDGIC: A Semantic Disambiguation-Guided Generative Image Compression Method for Ultra-Low Bitrates
Dec 6, 2025Kaile Wang, Lijun He, Haisheng Fu +2Diffusion Model Guidance Learned Image Compression
School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China · Department of Electrical and Computer Engineering, Faculty of Applied Science, The University of British Columbia, Vancouver, BC, Canada
Rethinking Garment Conditioning in Diffusion-based Virtual Try-On: Decouple, Don't Denoise
Nov 24, 2025Kihyun Na, Jinyoung Choi, Injung KimVirtual Try-On Diffusion Model Fine-Tuning
Advanced AI Talent Education and Research Group for Industrial Innovation, Handong Global University, Pohang 37554, Republic of Korea · Department of Artificial Intelligence, Computer and Electrical Engineering, Handong Global University, Pohang 37554, Republic of Korea
Hi-DREAM: Brain-Inspired Hierarchical Diffusion for fMRI-to-Image Reconstruction via ROI Encoder and VisuAl Mapping
Nov 14, 2025Guowei Zhang, Yun Zhao, Kai Sun +4Neural Decoding Conditional Image Generation
Dept of Data Science and AI, Monash University, Melbourne, Australia · Brain and Mind Centre, University of Sydney, Sydney, Australia · School of Psychological Sciences, Monash University, Melbourne, Australia
CanvasComposer: Personalized Group Photo Generation via a Multi-Reference Canvas
Oct 23, 2025Gordon Guocheng Qian, Ruihang Zhang, Tsai-Shien Chen +11Subject-Driven Image Generation Image Generation
Snap Inc., USA · University of Toronto, Canada · University of California, Merced, USA +1
Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA
Sep 26, 2025Chen Li, Meilong Xu, Xiaoling Hu +2Cross-Modality Medical Image Segmentation Unsupervised Domain Adaptation
Stony Brook University, Stony Brook, NY, USA · Massachusetts General Hospital and Harvard Medical School, MA, USA

May 22, 2026, eess.SPJ/K move · Enter open · S save

TGSD: Topology-Guided State-Space Diffusion Framework for EEG Spatial Super-Resolution

Zijian Kang, Weiming Zeng, Yueyang Li, Shengyu Gong+3

Lab of Digital Image and Intelligent Computation, Shanghai Maritime University, Shanghai 201306, China · Department of Department of Language Science and Technology, The Hong Kong Polytechnic University, Hong Kong SAR, China · Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China

Electroencephalography Conditional Diffusion Models State Space Models

Open paper AskPDF arXiv

Low-density EEG is more suitable for wearable and IoT-based brain sensing, but sparse electrode sampling often lacks sufficient spatial information to characterize cross-regional neural activity. EEG spatial super-resolution aims to recover dense-channel EEG from sparse recordings, yet remains challenging because channel missingness typically occurs at the whole-channel level, spatiotemporal dependencies over the full electrode layout are often underexplored, and the mapping from sparse to dense signals is inherently ambiguous. To address these issues, we propose TGSD, a topology-guided state-space diffusion framework for EEG spatial super-resolution. TGSD first employs a Hierarchical Spatial Prior Encoder to learn topology-aware priors over the complete electrode layout by integrating local geometric relationships with region-level contextual information. Based on these priors and sparse observations, a Conditional State-Space Diffusion Reconstructor progressively generates missing-channel signals through reverse diffusion, while alternating temporal and channel-wise state-space modeling captures long-range temporal dynamics and inter-channel dependencies in a unified framework. Experiments on the SEED and PhysioNet MM/I datasets show that TGSD consistently outperforms representative baselines under different super-resolution factors in both reconstruction fidelity and downstream classification performance. These results demonstrate the effectiveness of combining topology-aware spatial priors with conditional diffusion for enhancing practical low-density EEG sensing in wearable and IoT scenarios. The official implementation code is available at https://github.com/jtggz/TGSD.

Momentum

Related topics

Latest papers 185