% Key papers for Denoising diffusion probabilistic models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2020_denoising_59684,
  title = {{Denoising Diffusion Probabilistic Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17168},
}

@inproceedings{cvpr2022_repaint_19678,
  title = {{RePaint: Inpainting Using Denoising Diffusion Probabilistic Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{icml2021_improved_39449,
  title = {{Improved Denoising Diffusion Probabilistic Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9531},
}

@inproceedings{cvpr2022_perception_19567,
  title = {{Perception Prioritized Training of Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2022_pseudo_31251,
  title = {{Pseudo Numerical Methods for Diffusion Models on Manifolds}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6066},
}

@inproceedings{iclr2021_denoising_30328,
  title = {{Denoising Diffusion Implicit Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2804},
}

@inproceedings{icml2021_grad_39397,
  title = {{Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8569},
}

@inproceedings{cvpr2024_boosting_22862,
  title = {{Boosting Diffusion Models with Moving Average Sampling in Frequency Domain}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31539},
}

@inproceedings{iclr2023_gddim_31949,
  title = {{gDDIM: Generalized denoising diffusion implicit models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10905},
}

@inproceedings{iclr2022_bddm_31161,
  title = {{BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6010},
}

@inproceedings{iclr2022_priorgrad_31422,
  title = {{PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6445},
}

@inproceedings{neurips2023_diffusion_69053,
  title = {{Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70822},
}

@inproceedings{neurips2022_genie_64657,
  title = {{GENIE: Higher-Order Denoising Diffusion Solvers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54550},
}

@inproceedings{iclr2023_truncated_32329,
  title = {{Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12106},
}

@inproceedings{aaai2023_revisiting_4529,
  title = {{Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26597},
}

@inproceedings{cvpr2025_effective_26086,
  title = {{Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33230},
}

@inproceedings{icml2023_towards_41400,
  title = {{Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24127},
}

@inproceedings{iclr2017_learning_28215,
  title = {{Learning to Generate Samples from Noise through Infusion Training}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=BJAFbaolg},
}

@inproceedings{iclr2023_blurring_32506,
  title = {{Blurring Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11631},
}

@inproceedings{aaai2024_diffsed_5691,
  title = {{DiffSED: Sound Event Detection with Denoising Diffusion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27837},
}

@inproceedings{icml2024_diffda_45677,
  title = {{DiffDA: a Diffusion model for weather-scale Data Assimilation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32775},
}

@inproceedings{neurips2024_resfusion_71573,
  title = {{Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95696},
}

@inproceedings{aaai2024_spd_7233,
  title = {{SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29276},
}

@inproceedings{iclr2024_denoising_34005,
  title = {{Denoising Diffusion Bridge Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19070},
}

@inproceedings{cvpr2026_back_96842,
  title = {{Back to Basics: Let Denoising Generative Models Denoise}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Li_Back_to_Basics_Let_Denoising_Generative_Models_Denoise_CVPR_2026_paper.html},
}

@inproceedings{aaai2025_cauchy_8394,
  title = {{Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34634},
}

@inproceedings{neurips2024_denoising_72930,
  title = {{Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94481},
}

@inproceedings{neurips2025_noise_79919,
  title = {{Noise Matters: Optimizing Matching Noise for Diffusion Classifiers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=uG8bjnN1Nl},
}

@inproceedings{aaai2025_realistic_10478,
  title = {{Realistic Noise Synthesis with Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32910},
}

@inproceedings{cvpr2025_fingerprinting_26267,
  title = {{Fingerprinting Denoising Diffusion Probabilistic Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33116},
}

@inproceedings{cvpr2025_optimizing_27165,
  title = {{Optimizing for the Shortest Path in Denoising Diffusion Model}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32583},
}

@inproceedings{icml2024_listening_45512,
  title = {{Listening to the noise: Blind Denoising with Gibbs Diffusion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32940},
}

@inproceedings{icml2024_particle_45670,
  title = {{Particle Denoising Diffusion Sampler}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32782},
}

@inproceedings{icml2025_is_48617,
  title = {{Is Noise Conditioning Necessary for Denoising Generative Models?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44004},
}

@inproceedings{iclr2024_generalization_33811,
  title = {{Generalization in diffusion models arises from geometry-adaptive harmonic representations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19264},
}

@inproceedings{icml2025_distributional_47067,
  title = {{Distributional Diffusion Models with Scoring Rules}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45519},
}

@inproceedings{icml2025_restoregrad_47095,
  title = {{RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45491},
}