Denoising Diffusion Probabilistic Model

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  1. On the spectral properties of generative denoiser Jacobians

    Sep 28, 2026Alexandros Graikos, Nebojsa Jojic, Dimitris SamarasDenoising Diffusion Probabilistic ModelIterative Denoising Methods

    Stony Brook University · Microsoft Research

  2. Denoising Multi-Robot Trajectories

    Sep 28, 2026Yuhao Zhang, Keisuke Okumura, Ajay Shankar +1Multi-Robot Motion PlanningMulti-Robot Systems

    Department of Computer Science and Technology, University of Cambridge, U.K. · National Institute of Advanced Industrial Science and Technology (AIST), Japan

  3. Efficient 3D Whole-Body PET Image Denoising via Conditional Rectified Flow With Optimized Sampling Strategy

    Sep 15, 2026Jiale Shen, Guolin Wang, Chenhao Wang +3Positron Emission TomographyRectified Flow

    College of Biomedical Engineering & Instrument Science, Zhejiang University, Zhejiang, 310063, China

  4. Understanding LoRA Rank Trade-offs in Diffusion Model Fine-Tuning

    Sep 12, 2026Iman Khazrak, Narges Nejad, Mostafa M. Rezaee +1Denoising Diffusion Probabilistic ModelImagenet

    Department of Computer Science, Bowling Green State University, Bowling Green, OH, USA. · Department of Management and Marketing, Angelo State University, San Angelo, TX, USA.

  5. Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks

    Sep 8, 2026Mariia Drozdova, Stéphane Liem Nguyen, François FleuretDenoising Diffusion Probabilistic ModelDiffusion Models

    University of Geneva

  6. Diffusion as a Training Curriculum for Timestep-Free Iterative Reasoning

    Sep 1, 2026Mariia Drozdova, Aidan Sirbu, Pietro Miotti +4Functional Code SolversDenoising Diffusion Probabilistic Model

    1Google, Paradigms of Intelligence Team · School of Computer Science, McGill University · 4Mila - Quebec AI Institute +3

  7. Denoising Diffusion Generative Models Secretly Calculate Attentions

    Sep 1, 2026Farzan Haddadi, Leila Monfared, Ebrahim Rezaii +3Denoising Diffusion Probabilistic ModelImage Generation

    School of Electrical Engineering, Iran University of Science & Technology, Tehran, IRAN · Independent researcher

  8. Exact Global MCMC with Denoising Diffusion

    Aug 31, 2026Mitch HillMarkov Chain Monte CarloDiffusion Sampling

  9. Scaling Automatic Research Agents via World Models

    Aug 12, 2026Xiyuan Yang, Sheikh Sarwar, Jingru Cheng +8Efficient World-Action ModelWorld

    University of Illinois Urbana-Champaign · Amazon

  10. 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 +2RadiotherapyCone-Beam Computed Tomography

    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

  11. SDDBMs: Soft Denoising Diffusion Bridge Models

    Aug 9, 2026Shiyi Qi, Kun He, Mingmou LiuDiffusion BridgesDenoising Diffusion Probabilistic Model

    Nanjing University · Renmin University of China

  12. γγ-Bridge: A Look-Parametric Diffusion Bridge

    Jul 21, 2026Xuran Hu, Yujie Zhu, Tengxi Wang +2Diffusion BridgesMultiplicative Gamma Noise

    Urban Governance and Design Thrust, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China · Faculty of Science and Engineering, Macquarie University, NSW 2109, Sydney, Australia · School of Geography and Planning, Ningxia University, Yinchuan, China

  13. Denoising Models Develop Human-Like Perceptual Illusion Representations Across Architectures

    Jul 19, 2026Gautam Ranka, Paras ChopraNeural RepresentationsDenoising Diffusion Probabilistic Model

    Lossfunk

  14. Discrete Diffusion Models: A Unified Framework from Tokenization to Generation

    Jul 15, 2026Ye Yuan, Weien Li, Rui Song +19Diffusion ModelsDenoising Diffusion Probabilistic Model

    McGill University · University of Cambridge · Mila - Quebec AI Institute +6

  15. TraceSynth: Generating Production-Quality Kernel Traces with Constraint-Guided Diffusion Models

    Jul 13, 2026Yuvraj Sehgal, Sneh Patel, Mahsa Panahandeh +2TracesDiffusion Models

    Department of Computer Science, Brock University St. Catharines, Ontario, Canada · School of Electrical Engineering and Computer Science, University of Ottawa Ottawa, Ontario, Canada · Ciena Corporation Ottawa, Canada

  16. DiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic Representations

    Jul 13, 2026Abdulkader Helwan, Lina Abou-Abbas, Hussein El Amouri +2Seizure DetectionDeep Learning

    Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon · Institute of Applied Artificial Intelligence, T´ELUQ University, Montreal, Canada

  17. Probing Diffusion Denoising Dynamics for Contrastive Representation Learning

    Jul 10, 2026Yasong Dai, Zeeshan Hayder, David Ahmedt-Aristizabal +1Denoising Diffusion Probabilistic ModelContrastive Learning

    Australian National University · CSIRO Data61 · Amazon

  18. DiffCVE: Diffusion-based Compressed Video Enhancement

    Jul 8, 2026Wenqiang Xiao, Wenzhuo Ma, Junxi Zhang +1Video CompressionPerceptual Quality

    School of Remote Sensing and Information Engineering, Wuhan University

  19. HDDPM: Heteroscedastic Denoising Diffusion Probabilistic Model for Quantitative Low-Count Brain PET Recovery

    Jun 26, 2026Raymond Confidence, Udunna C. AnazodoPositron Emission TomographyDenoising Diffusion Probabilistic Model

    Department of Biomedical Engineering, McGill University, Montreal, Canada · Montreal Neurological Institute, McGill University, Montreal, QC, Canada

  20. Nemotron-Labs-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context

    Jun 25, 2026Fitsum Reda, John Kamalu, Roger Waleffe +3Diffusion Language ModelsAutoregressive Diffusion

    NVIDIA

  21. High-Fidelity Synthetic Transmission Electron Microscopy Image Generation Using Diffusion Probabilistic Models for Data-Limited Semiconductor Metrology

    Jun 23, 2026Johannes Boehm, Bappaditya DeyMedical Image GenerationElectron Microscopy

    Chemnitz University of Technology, Chemnitz, Germany · Interuniversity Microelectronics Centre (imec), Leuven, Belgium

  22. Robust Diffusion Models via Divergence-Induced Weighted Denoising

    Jun 21, 2026Lei Li, Yuexiao DongDenoising Diffusion Probabilistic ModelDiffusion Models

    LunarAI LLC · Newark, DE 19702 · Fox School of Business +1

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

    Jun 18, 2026Shenjian Gong, Kangkan Wang, Shanshan Zhang +1Diffusion PriorsNovel 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

  24. BRDFusion: Physics Meets Generation for Urban Scene Inverse Rendering

    Jun 15, 2026Yi-Ruei Liu, Jie-Ying Lee, Zheng-Hui Huang +2Inverse RenderingRaymap-Induced Geometry

    National Yang Ming Chiao Tung University · University of Illinois Urbana-Champaign · National Taiwan University

  25. A Continuous-Time Markov Chain Framework for Insertion Language Models

    Jun 8, 2026Dhruvesh Patel, Benjamin Rozonoyer, Soumitra Das +3Diffusion Language ModelsLanguage Modeling

    UMass Amherst · IBM Research · University of Toronto & Vijil

  26. The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show

    Jun 3, 2026Parsa Esmati, Somjit Nath, Katja Hofmann +3Video Diffusion ModelsDiffusion Transformers

    University of Bristol · McGill University · Mila–Quebec AI Institute +2

  27. Flicker-DDPM: Accelerating Denoising Diffusion via 1/f Colored Noise Injection

    Jun 2, 2026KeXiang Mao, FanCheng LiDenoising Diffusion Probabilistic Model

    School of Physics and Technology, Wuhan University, Wuhan 430072, China · Hongyi Honor College, Wuhan University, Wuhan 430072, China

  28. Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method

    Jun 2, 2026Yan Zeng, Masanori Suganuma, Takayuki OkataniDenoising Diffusion Probabilistic ModelReconstruction Fidelity

    Graduate School of Information Sciences, Tohoku University · RIKEN Center for AIP

  29. GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models

    May 28, 2026Xiaohang Tang, Keyue Jiang, Che Liu +4Diffusion Language ModelsLarge Language Model Reinforcement Learning

    UNIST · University of Basel

  30. Point Tracking Improves World Action Models

    May 22, 2026Jiarui Guan, Wenshuai Zhao, Yue Pei +3Efficient World-Action ModelPixel-Level Prediction

    Aalto University · ELLIS Institute Finland · Beihang University +3

  31. The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler

    May 21, 2026Md Sahil Akhtar, Aymane El Gadarri, Vivek F. Farias +1Markovian SamplingCovariance

    Electrical Engineering and Computer Science · Massachusetts Institute of Technology · Operations Research Center +1

  32. Wasserstein bounds for denoising diffusion probabilistic models via the Föllmer process

    May 18, 2026Yuta KoikeWasserstein DistanceDenoising Diffusion Probabilistic Model

    *Graduate School of Mathematical Sciences, University of Tokyo · †CREST, Japan Science and Technology Agency

  33. Connections between the Föllmer process and the denoising diffusion probabilistic model

    May 18, 2026Yuta KoikeStochastic Differential EquationsDenoising Diffusion Probabilistic Model

    *Graduate School of Mathematical Sciences, University of Tokyo · †CREST, Japan Science and Technology Agency

  34. Learning Normalized Energy Models for Linear Inverse Problems

    May 15, 2026Nicolas Zilberstein, Santiago Segarra, Eero Simoncelli +1Bayesian Inverse ProblemsDenoising Diffusion Probabilistic Model

    Rice University, Houston, TX, USA · Flatiron Institute, New York, NY, USA · New York University, New York, NY, USA

  35. Factorization-Error-Free Discrete Diffusion Language Model via Speculative Decoding

    May 14, 2026Xun Fang, Yunchen Li, Hang Yuan +1Diffusion Language ModelsSpeculative Decoding

    East China Normal University · Beijing Zhongguancun Academy

  36. Is Monotonic Sampling Necessary in Diffusion Models?

    May 12, 2026Muhammad Haris KhanDiffusion SamplingDiffusion Models

    Department of Computer Science, University of Copenhagen, Denmark

  37. Supersampling Stable Diffusion and Beyond: A Seamless, Training-Free Approach for Scaling Neural Networks Using Common Interpolation Methods

    May 9, 2026Md Abu Obaida Zishan, Jannatun Noor, Annajiat Alim RaselDenoising Diffusion Probabilistic ModelStochastic Interpolants

    School of Data and Sciences BRAC University, Dhaka · Computing for Sustainability and Social Good (C2SG) Research Group Department of Computer Science and Engineering United Internation University, Dhaka

  38. Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics

    May 7, 2026Muhammad H. Ashiq, Samanyu Arora, Abhinav N. Harish +3Diffusion SamplingDenoising Diffusion Probabilistic Model

    University of Wisconsin-Madison, Madison, WI, USA.

  39. Predictive-Generative Drift Decomposition for Speech Enhancement and Separation

    May 7, 2026Julius Richter, Yoshiki Masuyama, Christoph Boeddeker +3Speech EnhancementSpeech Separation

    MERL Cambridge, MA, USA

  40. GD4: Graph-based Discrete Denoising Diffusion for MIMO Detection

    May 1, 2026Qincheng Lu, Sitao Luan, Xiao-Wen ChangOrthogonal Frequency-Division MultiplexingMultiple-Input Multiple-Output

    School of Computer Science McGill University Montreal, Canada · University of Montreal Mila - Quebec AI Institute Montreal, Canada

  41. Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion

    Apr 30, 2026Yonghao Liu, Jialu Sun, Wei Pang +4Graph Representation LearningFew-Shot Learning

    Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University · School of Mathematical and Computer Sciences, Heriot-Watt University · Department of Information Engineering and Computer Science, University of Trento

  42. VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation

    Apr 24, 2026Nikoo Moradi, Gijs Luijten, Behrus Hinrichs-Puladi +4Medical Image GenerationDenoising Diffusion Probabilistic Model

    Institute for Artificial Intelligence in Medicine (IKIM), Essen University Hospital (AöR), University of Duisburg-Essen, Essen, Germany · Institute of Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16, Graz, 8010, Austria · Center for Virtual and Extended Reality in Medicine (ZvRM), University Hospital Essen (AöR), Essen, Germany +7

  43. Normalizing Flows with Iterative Denoising

    Apr 21, 2026Tianrong Chen, Jiatao Gu, David Berthelot +2Normalizing FlowsDenoising Diffusion Probabilistic Model

    Apple Machine Learning Research.

  44. Industrial Surface Defect Detection via Diffusion Generation and Asymmetric Student-Teacher Network

    Apr 21, 2026Shuo Feng, Runlin Zhou, Yuyang Li +1Defect DetectionDenoising Diffusion Probabilistic Model

    School of Automation, Southeast University, Nanjing, China

  45. One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models

    Apr 20, 2026Chris Cameron, Wangzheng Wang, Nikita Ivanov +3Denoising Diffusion Probabilistic ModelRecursive Models

    Huawei Technologies · University of Waterloo · University of Toronto

  46. Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection

    Apr 20, 2026Sa Zhu, Wanqian Zhang, Lin Wang +3Temporal Action LocalizationOpen-Vocabulary Object Detection

    Institute of Information Engineering, Chinese Academy of Sciences, School of Cyber Security, University of Chinese Academy of Sciences, State Key Laboratory of Cyberspace Security Defense, Beijing, China · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · Hangzhou Dianzi University, Hangzhou, China +1

  47. Elucidating the SNR-t Bias of Diffusion Probabilistic Models

    Apr 17, 2026Meng Yu, Lei Sun, Jianhao Zeng +2Denoising Diffusion Probabilistic ModelDiffusion Models

    Lanzhou University · AMAP Alibaba Group

  48. SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis

    Mar 23, 2026Bingxuan Zhao, Qing Zhou, Chuang Yang +1Denoising Diffusion Probabilistic ModelRemote Sensing

    School of Computer Science, Northwestern Polytechnical University, Xi’an, China · School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China

  49. Local Message-Passing for Discrete Graph Generation

    Mar 9, 2026Jay Revolinsky, Harry Shomer, Jiliang TangPhysics-Guided DiffusionGnn-Based Detectors

    Michigan State University East Lansing, Michigan, USA · University of Texas - Arlington Arlington, Texas, USA

  50. Training Flow Matching: The Role of Weighting and Parameterization

    Mar 6, 2026Anne Gagneux, Ségolène Martin, Rémi Gribonval +1Denoising Diffusion Probabilistic ModelGenerative Quality

    ENS de Lyon, CNRS, Universit´e Claude Bernard Lyon 1, Inria, LIP, UMR 5668, France · Technische Universität Berlin, Germany · Inria, ENS de Lyon, CNRS, Universit´e Claude Bernard Lyon 1, LIP, UMR 5668, France

  51. Jacobian-Aware Posterior Sampling for Inverse Problems

    Nov 23, 2025Liav Hen, Tom Tirer, Raja Giryes +1Posterior SamplingDenoising Diffusion Probabilistic Model

    Tel Aviv University, Israel · Bar-Ilan University, Israel · University of Cambridge, UK

  52. Double-Diffusion: Balancing Speed, Accuracy, and Uncertainty in Probabilistic Forecasting for Urban Sensor Networks

    Jun 29, 2025Hanlin Dong, Arian Prabowo, Hao Xue +4Probabilistic ForecastingDiffusion Dynamics

    University of New South Wales Sydney, Australia · University of Maryland College Park, United States · The Hong Kong University of Science and Technology (Guangzhou) Guangzhou, China

  53. Riemannian Denoising Diffusion Probabilistic Models

    May 7, 2025Zichen Liu, Wei Zhang, Christof Schütte +1Data ManifoldScore-Based Diffusion Model

    Center for Data Science, Peking University, Beijing 100871, P.R. China · Zuse Institute Berlin, Takustrasse 7, Berlin 14195, Germany · Institute of Mathematics, Freie Universität Berlin and Zuse Institute Berlin, Takustrasse 7, Berlin 14195, Germany +1

  54. Low-dimensional adaptation of diffusion models: Convergence in total variation

    Jan 22, 2025Jiadong Liang, Zhihan Huang, Yuxin ChenScore-Based Diffusion ModelDiffusion Models

    Department of Statistics and Data Science, the Wharton School, University of Pennsylvania

  55. Filterless Snapshot Hyperspectral Imaging using Guided Patch Diffusion

    Dec 3, 2024Dean Hazineh, Luca Sacchi, Davide Cassara +2Hyperspectral ImageSignal Reconstruction

    Harvard University

  56. A locally statistical active contour model for SAR image segmentation can be solved by denoising algorithms

    Jan 10, 2024Guangming LiuIterative Denoising MethodsSynthetic Aperture Radar

    Yantai Science and Technology Association

  57. TDDM-Melatt: A Decoupled Memory and Diffusion Framework for Generalizable Encrypted Traffic Classification

    Date pendingZe Chen, Qiming Yu, Zijia Song +2Network TrafficDiffusion Models

    National University of Defense Technology Hefei, Anhui, China