2025-04-28-diffusion-flow

assets/bibliography/2025-04-28-diffusion-flow.bib

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+@article{gregor2015draw,
+  title={DRAW: A recurrent neural network for image generation},
+  author={Gregor, Karol and Danihelka, Ivo and Graves, Alex and Rezende, Danilo Jimenez and Wierstra, Daan},
+  journal={arXiv preprint, arXiv:1502.04623},
+  year={2015},
+  url={https://arxiv.org/pdf/1502.04623.pdf}
+}
+
+@misc{dieleman2024spectral,
+  author = {Dieleman, Sander},
+  title = {Diffusion is spectral autoregression},
+  url = {https://sander.ai/2024/09/02/spectral-autoregression.html},
+  year = {2024}
+}
+
+@article{karras2022elucidating,
+  title={Elucidating the design space of diffusion-based generative models},
+  author={Karras, Tero and Aittala, Miika and Aila, Timo and Laine, Samuli},
+  journal={Advances in neural information processing systems},
+  volume={35},
+  pages={26565--26577},
+  year={2022}
+}
+
+@article{lu2022dpm,
+  title={Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models},
+  author={Lu, Cheng and Zhou, Yuhao and Bao, Fan and Chen, Jianfei and Li, Chongxuan and Zhu, Jun},
+  journal={arXiv preprint arXiv:2211.01095},
+  year={2022}
+}
+
+@inproceedings{salimansprogressive,
+  title={Progressive Distillation for Fast Sampling of Diffusion Models},
+  author={Salimans, Tim and Ho, Jonathan},
+  booktitle={International Conference on Learning Representations},
+  year={2022}
+}
+
+@article{lipman2022flow,
+  title={Flow matching for generative modeling},
+  author={Lipman, Yaron and Chen, Ricky TQ and Ben-Hamu, Heli and Nickel, Maximilian and Le, Matt},
+  journal={arXiv preprint arXiv:2210.02747},
+  year={2022}
+}
+
+@article{liu2022flow,
+  title={Flow straight and fast: Learning to generate and transfer data with rectified flow},
+  author={Liu, Xingchao and Gong, Chengyue and Liu, Qiang},
+  journal={arXiv preprint arXiv:2209.03003},
+  year={2022}
+}
+
+@article{albergo2023stochastic,
+  title={Stochastic interpolants: A unifying framework for flows and diffusions},
+  author={Albergo, Michael S and Boffi, Nicholas M and Vanden-Eijnden, Eric},
+  journal={arXiv preprint arXiv:2303.08797},
+  year={2023}
+}
+
+@article{kingma2024understanding,
+  title={Understanding diffusion objectives as the elbo with simple data augmentation},
+  author={Kingma, Diederik and Gao, Ruiqi},
+  journal={Advances in Neural Information Processing Systems},
+  volume={36},
+  year={2024}
+}
+
+@article{hoogeboom2024simpler,
+  title={Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion},
+  author={Hoogeboom, Emiel and Mensink, Thomas and Heek, Jonathan and Lamerigts, Kay and Gao, Ruiqi and Salimans, Tim},
+  journal={arXiv preprint arXiv:2410.19324},
+  year={2024}
+}
+
+@article{anderson1982reverse,
+  title={Reverse-time diffusion equation models},
+  author={Anderson, Brian DO},
+  journal={Stochastic Processes and their Applications},
+  volume={12},
+  number={3},
+  pages={313--326},
+  year={1982},
+  publisher={Elsevier}
+}
+
+@article{song2020denoising,
+  title={Denoising diffusion implicit models},
+  author={Song, Jiaming and Meng, Chenlin and Ermon, Stefano},
+  journal={arXiv preprint arXiv:2010.02502},
+  year={2020}
+}
+
+@article{song2020score,
+  title={Score-based generative modeling through stochastic differential equations},
+  author={Song, Yang and Sohl-Dickstein, Jascha and Kingma, Diederik P and Kumar, Abhishek and Ermon, Stefano and Poole, Ben},
+  journal={arXiv preprint arXiv:2011.13456},
+  year={2020}
+}
+
+@article{ho2020denoising,
+  title={Denoising diffusion probabilistic models},
+  author={Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
+  journal={Advances in neural information processing systems},
+  volume={33},
+  pages={6840--6851},
+  year={2020}
+}
+
+@article{luhman2021knowledge,
+  title={Knowledge distillation in iterative generative models for improved sampling speed},
+  author={Luhman, Eric and Luhman, Troy},
+  journal={arXiv preprint arXiv:2101.02388},
+  year={2021},
+  url={https://arxiv.org/pdf/2101.02388.pdf}
+}