% Key papers for Diffusion priors for denoising and deblurring (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2021_guided_17097,
  title = {{Guided Integrated Gradients: An Adaptive Path Method for Removing Noise}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_eventzoom_16963,
  title = {{EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2016_blind_11417,
  title = {{Blind Image Deconvolution by Automatic Gradient Activation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2023_parallel_21837,
  title = {{Parallel Diffusion Models of Operator and Image for Blind Inverse Problems}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21724},
}

@inproceedings{cvpr2020_an_15140,
  title = {{An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_spatially_14854,
  title = {{Spatially Variant Linear Representation Models for Joint Filtering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2020_patch2self_60574,
  title = {{Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18197},
}

@inproceedings{cvpr2024_unmixing_25156,
  title = {{Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31776},
}

@inproceedings{neurips2023_hierarchical_68476,
  title = {{Hierarchical Integration Diffusion Model for Realistic Image Deblurring}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71345},
}

@inproceedings{neurips2019_rethinking_58911,
  title = {{Rethinking the CSC Model for Natural Images}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13426},
}

@inproceedings{iclr2023_scaling_33180,
  title = {{Scaling Laws For Deep Learning Based Image Reconstruction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11090},
}

@inproceedings{cvpr2021_pseudo_17675,
  title = {{Pseudo 3D Auto-Correlation Network for Real Image Denoising}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2025_deconstructing_81103,
  title = {{Deconstructing Denoising Diffusion Models for Self-Supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30665},
}

@inproceedings{iclr2023_ddm_31929,
  title = {{DDM\$^2\$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12099},
}

@inproceedings{icml2023_sinddm_41992,
  title = {{SinDDM: A Single Image Denoising Diffusion Model}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23700},
}

@inproceedings{neurips2024_image_71587,
  title = {{Image Reconstruction Via Autoencoding Sequential Deep Image Prior}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95683},
}

@inproceedings{icml2023_gibbsddrm_41575,
  title = {{GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24152},
}

@inproceedings{cvpr2024_hyper_23732,
  title = {{Hyper-MD: Mesh Denoising with Customized Parameters Aware of Noise Intensity and Geometric Characteristics}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31471},
}

@inproceedings{cvpr2023_kernel_21299,
  title = {{Kernel Aware Resampler}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21668},
}

@inproceedings{neurips2025_deblurdiff_77970,
  title = {{DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=ZfAwtFBR9K},
}

@inproceedings{aaai2025_prompt_10377,
  title = {{Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32500},
}

@inproceedings{neurips2024_diffusion_71970,
  title = {{Diffusion Priors for Variational Likelihood Estimation and Image Denoising}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95341},
}

@inproceedings{aaai2026_self_101122,
  title = {{Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37423},
}

@inproceedings{iclr2024_noisediffusion_33683,
  title = {{NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19392},
}

@inproceedings{icml2025_arraydps_45895,
  title = {{ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46648},
}

@inproceedings{icml2026_normalization_52659,
  title = {{Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Xwxz41eYE6},
}

@inproceedings{neurips2024_an_73519,
  title = {{An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93958},
}

@inproceedings{neurips2025_ugodit_78882,
  title = {{UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=jIq2zVhBLN},
}

@inproceedings{iclr2025_score_83838,
  title = {{Score-based Self-supervised MRI Denoising}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27982},
}

@inproceedings{iclr2025_self_84015,
  title = {{Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27810},
}

@inproceedings{neurips2026_physics_91604,
  title = {{Physics Unrolled Neural Operator for Wireless Field Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/156055},
}

@inproceedings{neurips2026_a_93420,
  title = {{A Principled Self-Referenced Early Stopping Approach for Deep Image Prior}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151448},
}

@inproceedings{cvpr2026_self_95899,
  title = {{Self-Diffusion Driven Blind Imaging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Yang_Self-Diffusion_Driven_Blind_Imaging_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_solving_98122,
  title = {{Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Bian_Solving_a_Nonlinear_Blind_Inverse_Problem_for_Tagged_MRI_with_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_uncertainty_100509,
  title = {{Uncertainty-Propelled Physics-MAE Fusion for Self-Supervised Diffusion-Weighted Image Denoising}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37356},
}