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

@inproceedings{cvpr2023_post_21903,
  title = {{Post-Training Quantization on Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22169},
}

@inproceedings{cvpr2023_diffusion_20797,
  title = {{Diffusion Probabilistic Model Made Slim}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22901},
}

@inproceedings{iclr2023_fast_32437,
  title = {{Fast Sampling of Diffusion Models with Exponential Integrator}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10904},
}

@inproceedings{cvpr2024_diffusion_23203,
  title = {{Diffusion Models Without Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29646},
}

@inproceedings{cvpr2024_fast_23455,
  title = {{Fast ODE-based Sampling for Diffusion Models in Around 5 Steps}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31462},
}

@inproceedings{cvpr2024_accelerating_22700,
  title = {{Accelerating Diffusion Sampling with Optimized Time Steps}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30046},
}

@inproceedings{cvpr2022_dynamic_18712,
  title = {{Dynamic Dual-Output Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2022_learning_31343,
  title = {{Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6174},
}

@inproceedings{cvpr2024_tfmq_24940,
  title = {{TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30960},
}

@inproceedings{icml2023_fast_42707,
  title = {{Fast Sampling of Diffusion Models via Operator Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23465},
}

@inproceedings{neurips2023_dpm_67120,
  title = {{DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72585},
}

@inproceedings{cvpr2025_scaling_27578,
  title = {{Scaling Inference Time Compute for Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32892},
}

@inproceedings{cvpr2025_dkdm_25830,
  title = {{DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33250},
}

@inproceedings{cvpr2024_attention_22791,
  title = {{Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31292},
}

@inproceedings{neurips2024_one_73903,
  title = {{One-Step Diffusion Distillation through Score Implicit Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93608},
}

@inproceedings{cvpr2024_deep_23127,
  title = {{Deep Equilibrium Diffusion Restoration with Parallel Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31759},
}

@inproceedings{neurips2023_parallel_68718,
  title = {{Parallel Sampling of Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71125},
}

@inproceedings{neurips2023_restart_69888,
  title = {{Restart Sampling for Improving Generative Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70069},
}

@inproceedings{neurips2022_deep_66497,
  title = {{Deep Equilibrium Approaches to Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53233},
}

@inproceedings{cvpr2025_schedule_27593,
  title = {{Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32796},
}

@inproceedings{iclr2024_alleviating_34678,
  title = {{Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18396},
}

@inproceedings{neurips2024_belm_73017,
  title = {{BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94406},
}

@inproceedings{cvpr2025_autoregressive_25543,
  title = {{Autoregressive Distillation of Diffusion Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35166},
}

@inproceedings{aaai2024_multi_6709,
  title = {{Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28267},
}

@inproceedings{aaai2024_on_6825,
  title = {{On Inference Stability for Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29359},
}

@inproceedings{aaai2025_enhancing_8957,
  title = {{Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33370},
}

@inproceedings{cvpr2025_adaptive_25443,
  title = {{Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34841},
}

@inproceedings{iclr2024_denoising_34763,
  title = {{Denoising Diffusion Step-aware Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18311},
}

@inproceedings{cvpr2025_decouple_25876,
  title = {{Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34782},
}

@inproceedings{cvpr2025_pcm_27178,
  title = {{PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34041},
}