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Cited by
Year
Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu
Advances in Neural Information Processing Systems 35, 5775-5787, 2022
10782022
Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Z Wang, C Lu, Y Wang, F Bao, C Li, H Su, J Zhu
Advances in Neural Information Processing Systems 36, 2024
6322024
Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models
C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu
arXiv preprint arXiv:2211.01095, 2022
4022022
Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models
F Bao, C Li, J Zhu, B Zhang
arXiv preprint arXiv:2201.06503, 2022
3202022
All are worth words: A vit backbone for diffusion models
F Bao, S Nie, K Xue, Y Cao, C Li, H Su, J Zhu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
302*2023
Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations
M Zhao, F Bao, C Li, J Zhu
Advances in Neural Information Processing Systems 35, 3609-3623, 2022
1912022
One transformer fits all distributions in multi-modal diffusion at scale
F Bao, S Nie, K Xue, C Li, S Pu, Y Wang, G Yue, Y Cao, H Su, J Zhu
International Conference on Machine Learning, 1692-1717, 2023
1282023
Maximum likelihood training for score-based diffusion odes by high order denoising score matching
C Lu, K Zheng, F Bao, J Chen, C Li, J Zhu
International Conference on Machine Learning, 14429-14460, 2022
742022
Estimating the optimal covariance with imperfect mean in diffusion probabilistic models
F Bao, C Li, J Sun, J Zhu, B Zhang
arXiv preprint arXiv:2206.07309, 2022
742022
Equivariant energy-guided sde for inverse molecular design
F Bao, M Zhao, Z Hao, P Li, C Li, J Zhu
The eleventh international conference on learning representations, 2022
542022
Revisiting discriminative vs. generative classifiers: Theory and implications
C Zheng, G Wu, F Bao, Y Cao, C Li, J Zhu
International Conference on Machine Learning, 42420-42477, 2023
322023
Stability and generalization of bilevel programming in hyperparameter optimization
F Bao, G Wu, C Li, J Zhu, B Zhang
Advances in neural information processing systems 34, 4529-4541, 2021
312021
Diffusion models and semi-supervised learners benefit mutually with few labels
Z You, Y Zhong, F Bao, J Sun, C Li, J Zhu
Advances in Neural Information Processing Systems 36, 2024
302024
Vidu: a highly consistent, dynamic and skilled text-to-video generator with diffusion models
F Bao, C Xiang, G Yue, G He, H Zhu, K Zheng, M Zhao, S Liu, Y Wang, ...
arXiv preprint arXiv:2405.04233, 2024
282024
Why are conditional generative models better than unconditional ones?
F Bao, C Li, J Sun, J Zhu
arXiv preprint arXiv:2212.00362, 2022
172022
Bi-level score matching for learning energy-based latent variable models
F Bao, C Li, K Xu, H Su, J Zhu, B Zhang
Advances in Neural Information Processing Systems 33, 18110-18122, 2020
172020
A closer look at parameter-efficient tuning in diffusion models
C Xiang, F Bao, C Li, H Su, J Zhu
arXiv preprint arXiv:2303.18181, 2023
132023
Variational (gradient) estimate of the score function in energy-based latent variable models
F Bao, K Xu, C Li, L Hong, J Zhu, B Zhang
International Conference on Machine Learning, 651-661, 2021
112021
Gaussian mixture solvers for diffusion models
H Guo, C Lu, F Bao, T Pang, S Yan, C Du, C Li
Advances in Neural Information Processing Systems 36, 2024
92024
Diffusion Bridge Implicit Models
K Zheng, G He, J Chen, F Bao, J Zhu
arXiv preprint arXiv:2405.15885, 2024
22024
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