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We present Piecewise Rectified Flow (PeRFlow), a flow-based method for accelerating diffusion models.
Denoising Diffusion Probabilistic Models, Dec. 2020
J. Ho, A. Jain, and P. Abbeel · 2006
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Denoising Diffusion Implicit Models, June 2022
J. Song, C. Meng, and S. Ermon · 2010
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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How to train your neural ode: the world of jacobian and kinetic regularization
C. Finlay, J.-H. Jacobsen, L. Nurbekyan, and A. Oberman · 2020
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Diffwave: A versatile diffusion model for audio synthesis
Z. Kong, W. Ping, J. Huang, K. Zhao, and B. Catanzaro · 2020
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Classifier-free diffusion guidance
J. Ho and T. Salimans · 2021
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SCORE-BASED GENERATIVE MODELING THROUGH STOCHASTIC DIFFERENTIAL EQUATIONS
Y. Song, J. Sohl-Dickstein, D. P. Kingma, A. Kumar, S. Ermon, and B. Poole · 2021
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Tackling the generative learning trilemma with denoising diffusion gans
Z. Xiao, K. Kreis, and A. Vahdat · 2021
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ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers
Y. Balaji, S. Nah, X. Huang, A. Vahdat, J. Song, Q. Zhang, K. Kreis, M. Aittala, T. Aila, S. Laine, et al · 2022
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Flow matching for generative modeling
Y. Lipman, R. T. Chen, H. Ben-Hamu, M. Nickel, and M. Le · 2022
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Rectified flow: A marginal preserving approach to optimal transport
Q. Liu · 2022
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Flow straight and fast: Learning to generate and transfer data with rectified flow
X. Liu, C. Gong, and Q. Liu · 2022
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High-Resolution Image Synthesis with Latent Diffusion Models, Apr. 2022
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer · 2022
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PROGRESSIVE DISTILLATION FOR FAST SAMPLING OF DIFFUSION MODELS
T. Salimans and J. Ho · 2022
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Laion-5b: An open large-scale dataset for training next generation image-text models
C. Schuhmann, R. Beaumont, R. Vencu, C. Gordon, R. Wightman, M. Cherti, T. Coombes, A. Katta, C. Mullis, M. Wortsman, et al · 2022
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Diffusion-gan: Training gans with diffusion
Z. Wang, H. Zheng, P. He, W. Chen, and M. Zhou · 2022
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Fast sampling of diffusion models with exponential integrator
Q. Zhang and Y. Chen · 2022
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Truncated diffusion probabilistic models and diffusion-based adversarial auto-encoders
H. Zheng, P. He, W. Chen, and M. Zhou · 2022
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Stochastic interpolants: A unifying framework for flows and diffusions
M. S. Albergo, N. M. Boffi, and E. Vanden-Eijnden · 2023
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Tract: Denoising diffusion models with transitive closure time-distillation
D. Berthelot, A. Autef, J. Lin, D. A. Yap, S. Zhai, S. Hu, D. Zheng, W. Talbott, and E. Gu · 2023
Cited alongside, same era.
Boot: Data-free distillation of denoising diffusion models with bootstrapping
J. Gu, S. Zhai, Y. Zhang, L. Liu, and J. M. Susskind · 2023
Multisample flow matching: Straightening flows with minibatch couplings
A.-A. Pooladian, H. Ben-Hamu, C. Domingo-Enrich, B. Amos, Y. Lipman, and R. T. Chen · 2023
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Adversarial diffusion distillation
A. Sauer, D. Lorenz, A. Blattmann, and R. Rombach · 2023
Later among the works it cites.
Y. Song, P. Dhariwal, M. Chen, and I. Sutskever · 2023
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Exploring straighter trajectories of flow matching with diffusion guidance
S. Xing, J. Cao, H. Huang, X.-Y. Zhang, and R. He · 2023
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Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
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Cited alongside, same era.
Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Y. Guo, C. Yang, A. Rao, Y. Wang, Y. Qiao, D. Lin, and B. Dai · 2023
Cited alongside, same era.
Minimizing trajectory curvature of ode-based generative models
S. Lee, B. Kim, and J. C. Ye · 2023
Cited alongside, same era.
Magicedit: High-fidelity and temporally coherent video editing
J. H. Liew, H. Yan, J. Zhang, Z. Xu, and J. Feng · 2023
Cited alongside, same era.
Instaflow: One step is enough for high-quality diffusion-based text-to-image generation
X. Liu, X. Zhang, J. Ma, J. Peng, et al · 2023
Cited alongside, same era.
Wonder3d: Single image to 3d using cross-domain diffusion
X. Long, Y.-C. Guo, C. Lin, Y. Liu, Z. Dou, L. Liu, Y. Ma, S.-H. Zhang, M. Habermann, C. Theobalt, et al · 2023
Cited alongside, same era.
Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models, 2023
C. Lu, Y. Zhou, F. Bao, J. Chen, C. Li, and J. Zhu · 2023
Cited alongside, same era.
On distillation of guided diffusion models
C. Meng, R. Rombach, R. Gao, D. Kingma, S. Ermon, J. Ho, and T. Salimans · 2023
Cited alongside, same era.
H. Ye, J. Zhang, S. Liu, X. Han, and W. Yang · 2023
Later among the works it cites.
One-step diffusion with distribution matching distillation, 2023
T. Yin, M. Gharbi, R. Zhang, E. Shechtman, F. Durand, W. T. Freeman, and T. Park · 2023
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Adding Conditional Control to Text-to-Image Diffusion Models, Feb. 2023
L. Zhang and M. Agrawala · 2023
Later among the works it cites.
MagicVideo: Efficient Video Generation With Latent Diffusion Models, May 2023
D. Zhou, W. Wang, H. Yan, W. Lv, Y. Zhu, and J. Feng · 2023
Later among the works it cites.
Applying guidance in a limited interval improves sample and distribution quality in diffusion models
T. Kynkäänniemi, M. Aittala, T. Karras, S. Laine, T. Aila, and J. Lehtinen · 2024
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Snapfusion: Text-to-image diffusion model on mobile devices within two seconds
Y. Li, H. Wang, Q. Jin, J. Hu, P. Chemerys, Y. Fu, Y. Wang, S. Tulyakov, and J. Ren · 2024
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Sdxl-lightning: Progressive adversarial diffusion distillation, 2024
S. Lin, A. Wang, and X. Yang · 2024
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Swiftbrush: One-step text-to-image diffusion model with variational score distillation, 2024
T. H. Nguyen and A. Tran · 2024
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Journeydb: A benchmark for generative image understanding
K. Sun, J. Pan, Y. Ge, H. Li, H. Duan, X. Wu, R. Zhang, A. Zhou, Z. Qin, Y. Wang, et al · 2024
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Sequential flow matching for generative modeling
J. Yoon and J. Lee · 2024
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M. Zhou, H. Zheng, Z. Wang, M. Yin, and H. Huang · 2024
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