% Key papers for Distillation for few-step generation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2018_parallel_36915,
  title = {{Parallel WaveNet: Fast High-Fidelity Speech Synthesis}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2198},
}

@inproceedings{neurips2016_professor_55944,
  title = {{Professor Forcing: A New Algorithm for Training Recurrent Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7377},
}

@inproceedings{neurips2019_hype_58361,
  title = {{HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13220},
}

@inproceedings{neurips2024_improved_74218,
  title = {{Improved Distribution Matching Distillation for Fast Image Synthesis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93335},
}

@inproceedings{cvpr2023_real_21996,
  title = {{Real-Time Controllable Denoising for Image and Video}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21809},
}

@inproceedings{cvpr2024_efficient_23327,
  title = {{Efficient Dataset Distillation via Minimax Diffusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29359},
}

@inproceedings{aaai2021_show_1382,
  title = {{Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12989-show-me-how-to-revise-improving-lexically-constrained-sentence-generation-with-xlnet/},
}

@inproceedings{iclr2024_improved_34595,
  title = {{Improved Techniques for Training Consistency Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18479},
}

@inproceedings{neurips2024_phased_73781,
  title = {{Phased Consistency Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93725},
}

@inproceedings{cvpr2024_diversity_23244,
  title = {{Diversity-aware Channel Pruning for StyleGAN Compression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29262},
}

@inproceedings{cvpr2024_dreampropeller_23268,
  title = {{DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31545},
}

@inproceedings{iclr2021_anytime_30337,
  title = {{Anytime Sampling for Autoregressive Models via Ordered Autoencoding}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3304},
}

@inproceedings{iclr2023_denoising_33242,
  title = {{Denoising Diffusion Error Correction Codes}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12069},
}

@inproceedings{cvpr2024_condition_23012,
  title = {{Condition-Aware Neural Network for Controlled Image Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29245},
}

@inproceedings{cvpr2025_let_26776,
  title = {{Let's Verify and Reinforce Image Generation Step by Step}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32492},
}

@inproceedings{aaai2024_high_6215,
  title = {{High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28527},
}

@inproceedings{cvpr2023_flowgrad_21012,
  title = {{FlowGrad: Controlling the Output of Generative ODEs With Gradients}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21701},
}

@inproceedings{cvpr2025_nitrofusion_27070,
  title = {{NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34476},
}

@inproceedings{iclr2024_continuous_33727,
  title = {{Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19348},
}

@inproceedings{aaai2026_sar_105293,
  title = {{SAR-DisentDM: A Semantic-Disentangled Diffusion Model for Limited-Data SAR Image Synthesis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38165},
}

@inproceedings{aaai2025_real_10472,
  title = {{Real-Time Neural Denoising with Render-Aware Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32462},
}

@inproceedings{iclr2025_score_83000,
  title = {{Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28804},
}

@inproceedings{aaai2025_scalable_10679,
  title = {{Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/31976},
}

@inproceedings{iclr2025_simplifying_81818,
  title = {{Simplifying, Stabilizing and Scaling Continuous-time Consistency Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29963},
}

@inproceedings{aaai2026_diffusion_105551,
  title = {{Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38307},
}

@inproceedings{cvpr2025_dacapo_25853,
  title = {{DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33733},
}

@inproceedings{iclr2024_data_33483,
  title = {{Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19592},
}

@inproceedings{icml2025_privacy_46235,
  title = {{Privacy Attacks on Image AutoRegressive Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46325},
}