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

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