Overview

Diffusion models learn a data distribution by gradually corrupting examples with noise and training a denoiser to reverse that process. Major approaches include DDPMs and score-based SDEs, latent diffusion and diffusion Transformers, flow and consistency methods, and discrete masked or continuous-time Markov diffusion; conditioning and guidance adapt them to specific tasks. They are used for images, video, audio, language, molecules, and scientific forecasting, with evaluations ranging from ImageNet FID to language perplexity and domain-specific measures of accuracy and uncertainty. A central tension is how to make sampling faster and generation more controllable without sacrificing quality, calibration, or diversity, while theory and ongoing audits address generalization, memorization, and privacy.

Latest papers

CardsList

1,192 papers152 papers in the last four weeks, up 77% on the four weeks before. 0.9% of all new papers.

  1. Generative diffusion models for spatiotemporal influenza forecasting

    Apr 27, 2026Joseph Lemaitre, Justin LesslerEpidemic ForecastingSpatiotemporal Forecasting

  2. DiffuSAM: Diffusion-Based Prompt-Free SAM2 for Few-Shot and Source-Free Medical Image Segmentation

    Apr 27, 2026Tal Grossman, Noa Cahan, Lev Ayzenberg +1Diffusion ModelsImage Segmentation

  3. Diffusion Model as a Generalist Segmentation Learner

    Apr 27, 2026Haoxiao Wang, Antao Xiang, Haiyang Sun +8Image SegmentationText-Guided Image Segmentation

  4. Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion

    Apr 27, 2026Zhongjie Duan, Hong Zhang, Yingda ChenControllable Image GenerationDiffusion Models

  5. On the Memorization of Consistency Distillation for Diffusion Models

    Apr 26, 2026Bingqing Jiang, Difan ZouMemorization in Generative ModelsConsistency Distillation

  6. Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model

    Apr 24, 2026Nivetha Jayakumar, Swakshar Deb, Bahram Jafrasteh +2Longitudinal Medical Image AnalysisMedical Image Synthesis

  7. Accelerating Frequency Domain Diffusion Models with Error-Feedback Event-Driven Caching

    Apr 24, 2026Dong Liu, Haisheng Wang, Yanxuan YuTime Series GenerationDiffusion Model Caching

  8. Breaking Watermarks in the Frequency Domain: A Modulated Diffusion Attack Framework

    Apr 24, 2026Chunpeng Wang, Binyan Qu, Xiaoyu Wang +4Watermark RemovalDiffusion Models

  9. dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model

    Apr 24, 2026Yaxuan Li, Zhongyi Zhou, Yefei Chen +2World Models for RoboticsRobotic Policy Evaluation

  10. Quotient-Space Diffusion Models

    Apr 23, 2026Yixian Xu, Yusong Wang, Shengjie Luo +4Protein Structure GenerationGenerative Modeling

  11. MISTY: High-Throughput Motion Planning via Mixer-based Single-step Drifting

    Apr 23, 2026Yining Xing, Zehong Ke, Yiqian Tu +3Trajectory GenerationDiffusion-Based Planning

  12. Pre-process for segmentation task with nonlinear diffusion filters

    Apr 23, 2026Javier Sanguino, Carlos Platero, Olga VelascoImage SegmentationDiffusion Models

  13. AttDiff-GAN: A Hybrid Diffusion-GAN Framework for Facial Attribute Editing

    Apr 23, 2026Wenmin Huang, Weiqi Luo, Xiaochun Cao +1Diffusion Model GuidanceDiffusion-Based Image Editing

  14. Projected Gradient Unlearning for Text-to-Image Diffusion Models: Defending Against Concept Revival Attacks

    Apr 22, 2026Aljalila Aladawi, Mohammed Talha Alam, Fakhri KarrayDiffusion Model Fine-TuningDiffusion Model Unlearning

  15. Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes

    Apr 22, 2026Tim Merino, Sam Earle, Ryunosuke Iwai +23D Scene Generation3D Shape Generation

  16. HarmoniDiff-RS: Training-Free Diffusion Harmonization for Satellite Image Composition

    Apr 21, 2026Xiaoqi Zhuang, Jefersson A. Dos Santos, Jungong HanCompositional Image GenerationRemote Sensing

  17. Learning to Credit the Right Steps: Objective-aware Process Optimization for Visual Generation

    Apr 21, 2026Rui Li, Ke Hao, Yuanzhi Liang +4Multi-Objective Reinforcement LearningVideo Diffusion Models

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

    Apr 20, 2026Chris Cameron, Wangzheng Wang, Nikita Ivanov +3Abstract ReasoningRecurrent Transformers

  19. Discriminative-Generative Synergy for Occlusion Robust 3D Human Mesh Recovery

    Apr 20, 2026Yang Liu, Zhiyong Zhang3D ReconstructionHuman Mesh Recovery

  20. UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models

    Apr 20, 2026Jiaqi Wang, Haoge Deng, Ting Pan +5T2I GenerationGroup Relative Policy Optimization

  21. One-Step Diffusion with Inverse Residual Fields for Unsupervised Industrial Anomaly Detection

    Apr 20, 2026Boan Zhang, Wen Li, Guanhua Yu +3Industrial Anomaly DetectionUnsupervised Anomaly Detection

  22. DiffTSP: A Conditional Discrete Diffusion Model for Knowledge Graph Triple Set Prediction

    Apr 20, 2026Jihong Guan, Jiaqi Wang, Han Cai +5Link PredictionKG Completion

  23. Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing

    Apr 20, 2026Kijung Jeon, Michael Muehlebach, Molei TaoConstrained Generative ModelingLangevin Dynamics

  24. AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D Diffusion

    Apr 20, 2026Hongjie Li, Heng Yu, Jiaman Li +4Markerless Motion Capture3D Reconstruction

  25. Optimally Bridging Semantics and Data: Generative Semantic Communication via Schrödinger Bridge

    Apr 20, 2026Dahua Gao, Ruichao Liu, Minxi Yang +3Semantic CommunicationFew-Step Diffusion Sampling

  26. Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement

    Apr 20, 2026Hongxu Jiang, Fei Li, Boxiao Yu +43D Medical ImagingMedical Image Super-Resolution

  27. A Mechanistic Study of Algorithmic Generalization in Diffusion Models on Modular Arithmetic

    Apr 20, 2026Joon Hyeok Kim, Yong-Hyun Park, Mattis Dalsætra Østby +1Pixel-Space Diffusion ModelsMechanistic Interpretability

  28. Target Parameterization in Diffusion Models for Nonlinear Spatiotemporal System Identification

    Apr 19, 2026Achraf El Messaoudi, Noureddine Khaous, Karim CherifiNonlinear System IdentificationSpatiotemporal Forecasting