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

@inproceedings{neurips2023_imagereward_67697,
  title = {{ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72054},
}

@inproceedings{neurips2023_pick_67506,
  title = {{Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72229},
}

@inproceedings{cvpr2024_learning_23963,
  title = {{Learning Multi-Dimensional Human Preference for Text-to-Image Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30079},
}

@inproceedings{cvpr2025_videodpo_28094,
  title = {{VideoDPO: Omni-Preference Alignment for Video Diffusion Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33095},
}

@inproceedings{cvpr2025_aesthetic_25462,
  title = {{Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33341},
}

@inproceedings{cvpr2025_curriculum_25806,
  title = {{Curriculum Direct Preference Optimization for Diffusion and Consistency Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33027},
}

@inproceedings{neurips2023_rewarded_69308,
  title = {{Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70592},
}

@inproceedings{neurips2024_multimodal_71492,
  title = {{Multimodal Large Language Models Make Text-to-Image Generative Models Align Better}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95768},
}

@inproceedings{neurips2024_aligning_71772,
  title = {{Aligning Diffusion Models by Optimizing Human Utility}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95518},
}

@inproceedings{aaai2026_visionreward_104918,
  title = {{VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38107},
}

@inproceedings{cvpr2025_calibrated_25673,
  title = {{Calibrated Multi-Preference Optimization for Aligning Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33781},
}

@inproceedings{aaai2025_agfsync_7959,
  title = {{AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32168},
}

@inproceedings{aaai2025_generalizing_9323,
  title = {{Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34978},
}

@inproceedings{cvpr2025_boost_25606,
  title = {{Boost Your Human Image Generation Model via Direct Preference Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33774},
}

@inproceedings{cvpr2025_personalized_27245,
  title = {{Personalized Preference Fine-tuning of Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34046},
}

@inproceedings{aaai2026_margin_100736,
  title = {{Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/42476},
}

@inproceedings{aaai2025_mvreward_9887,
  title = {{MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32851},
}

@inproceedings{neurips2025_self_75829,
  title = {{Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=COifgrjzXR},
}

@inproceedings{aaai2025_dreamalign_8807,
  title = {{DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32577},
}

@inproceedings{cvpr2025_inpo_26616,
  title = {{InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33603},
}

@inproceedings{iclr2024_confidence_34221,
  title = {{Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18854},
}

@inproceedings{icml2024_a_45745,
  title = {{A Dense Reward View on Aligning Text-to-Image Diffusion with Preference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32707},
}

@inproceedings{icml2025_david_46410,
  title = {{David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46154},
}