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 models on phase space

    Apr 2, 2026Zachary Bogorad, Ibrahim Elsharkawy, Yonatan Kahn +2Generative ModelingConstrained Generative Modeling

  2. Why Gaussian Diffusion Models Fail on Discrete Data and How to Prevent It?

    Apr 2, 2026Alexander Shabalin, Simon Elistratov, Viacheslav Meshchaninov +2Diffusion ModelsDiffusion Sampling

  3. Bias mitigation in graph diffusion models

    Apr 2, 2026Meng Yu, Kun ZhanDiffusion ModelsGraph Diffusion

  4. Why Instruction-Based Unlearning Fails in Diffusion Models?

    Apr 2, 2026Zeliang Zhang, Rui Sun, Jiani Liu +2Diffusion Model UnlearningMachine Unlearning

  5. Data-Driven Reachability Analysis via Diffusion Models with PAC Guarantees

    Mar 31, 2026Yanliang Huang, Peng Xie, Wenyuan Wu +2Reachability AnalysisDiffusion Models

  6. Video Models Reason Early: Exploiting Plan Commitment for Maze Solving

    Mar 31, 2026Kaleb Newman, Tyler Zhu, Olga RussakovskyVideo Diffusion ModelsVideo Reasoning

  7. Diffusion-Based Feature Denoising with NNMF for Robust handwritten digit multi-class classification

    Mar 31, 2026Hiba Adil Al-kharsan, Róbert RajkóDiffusion-Based DenoisingHandwritten Digit Recognition

  8. SHIFT: Stochastic Hidden-Trajectory Deflection for Removing Diffusion-based Watermark

    Mar 31, 2026Rui Bao, Zheng Gao, Xiaoyu Li +3Watermark RemovalDiffusion Model Watermarking

  9. Emotion Diffusion Classifier with Adaptive Margin Discrepancy Training for Facial Expression Recognition

    Mar 31, 2026Rongkang Dong, Cuixin Yang, Cong Zhang +2Adversarial RobustnessFacial Expression Recognition

  10. Diffusion Mental Averages

    Mar 31, 2026Phonphrm Thawatdamrongkit, Sukit Seripanitkarn, Supasorn SuwajanakornDiffusion ModelsT2I Diffusion Models

  11. Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation

    Mar 30, 2026Yoann Boget, Alexandros KalousisGenerative ModelingDiffusion Models

  12. Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models

    Mar 30, 2026Joffrey Dumont Le Brazidec, Simon Lang, Martin Leutbecher +9Weather ForecastingProbabilistic Forecasting

  13. ColorFLUX: A Structure-Color Decoupling Framework for Old Photo Colorization

    Mar 30, 2026Bingchen Li, Zhixin Wang, Fan Li +5Image RestorationImage-to-Image Translation

  14. From Independent to Correlated Diffusion: Generalized Generative Modeling with Probabilistic Computers

    Mar 30, 2026Nihal Sanjay Singh, Mazdak Mohseni-Rajaee, Shaila Niazi +1Diffusion ModelsPhysics-Informed Generative Modeling

  15. Beyond Dataset Distillation: Lossless Dataset Concentration via Diffusion-Assisted Distribution Alignment

    Mar 30, 2026Tongfei Liu, Yufan Liu, Bing Li +1Dataset DistillationDataset Condensation

  16. You Only Erase Once: Erasing Anything without Bringing Unexpected Content

    Mar 29, 2026Yixing Zhu, Qing Zhang, Wenju Xu +1Object RemovalDiffusion-Based Image Editing

  17. DRUM: Diffusion-based Raydrop-aware Unpaired Mapping for Sim2Real LiDAR Segmentation

    Mar 27, 2026Tomoya Miyawaki, Kazuto Nakashima, Yumi Iwashita +1Synthetic-to-Real Domain Adaptation3D Semantic Segmentation

  18. InstaVSR: Taming Diffusion for Efficient and Temporally Consistent Video Super-Resolution

    Mar 27, 2026Jintong Hu, Bin Chen, Zhenyu Hu +3Video Super-ResolutionDiffusion Models

  19. Calibri: Enhancing Diffusion Transformers via Parameter-Efficient Calibration

    Mar 25, 2026Danil Tokhchukov, Aysel Mirzoeva, Andrey Kuznetsov +1Diffusion TransformerT2I Diffusion Models

  20. A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning

    Mar 25, 2026Changyu Liu, James Chenhao Liang, Wenhao Yang +6Visual Representation LearningDiffusion Models

  21. LGTM: Training-Free Light-Guided Text-to-Image Diffusion Model via Initial Noise Manipulation

    Mar 25, 2026Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser +3Controllable Image GenerationT2I Diffusion Models

  22. HAM: A Training-Free Style Transfer Approach via Heterogeneous Attention Modulation for Diffusion Models

    Mar 25, 2026Yeqi He, Liang Li, Zhiwen Yang +3Image Style TransferAttention Control in Diffusion Models

  23. Can We Change "Stroke Size" to Simplify Flow Matching?

    Mar 25, 2026Yunwei Bai, Ying Kiat Tan, Tsuhan ChenDiffusion Models

  24. CDMT-EHR: A Continuous-Time Diffusion Framework for Generating Mixed-Type Time-Series Electronic Health Records

    Mar 24, 2026Shaonan Liu, Yuichiro Iwashita, Soichiro Nakako +2Synthetic Data GenerationDiffusion Models

  25. FG-Portrait: 3D Flow Guided Editable Portrait Animation

    Mar 24, 2026Yating Xu, Yunqi Miao, Evangelos Ververas +2Video GenerationDiffusion Models