Bi-level Score Matching for Learning Energy-based Latent Variable Models.
Kun Xu , Jun Zhu , Hang Su , Bo Zhang
arXiv: Learning
11
2020
Equivariant energy-guided sde for inverse molecular design
Fan Bao , Min Zhao , Zhongkai Hao , Peiyao Li
arXiv preprint arXiv:2209.15408
3
2022
Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models
Fan Bao , Chongxuan Li , Jun Zhu , Bo Zhang
arXiv preprint arXiv:2201.06503
53
2022
Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations
Min Zhao , Fan Bao , Chongxuan Li , Jun Zhu
Advances in Neural Information Processing Systems 35 3609 -3623
17
2022
Maximum likelihood training for score-based diffusion odes by high order denoising score matching
Cheng Lu , Kaiwen Zheng , Fan Bao , Jianfei Chen
Smpte Journal 14429 -14460
5
2022
Revisiting discriminative vs. generative classifiers: Theory and implications
Chenyu Zheng , Guoqiang Wu , Fan Bao , Yue Cao
arXiv preprint arXiv:2302.02334
2023
Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models
Cheng Lu , Yuhao Zhou , Fan Bao , Jianfei Chen
arXiv preprint arXiv:2211.01095
5
2022
Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
Cheng Lu , Yuhao Zhou , Fan Bao , Jianfei Chen
Advances in Neural Information Processing Systems 35 5775 -5787
67
2022
Why Are Conditional Generative Models Better Than Unconditional Ones?
Fan Bao , Chongxuan Li , Jiacheng Sun , Jun Zhu
arXiv preprint arXiv:2212.00362
1
2022
Gaussian Mixture Solvers for Diffusion Models
Hanzhong Guo , Cheng Lu , Fan Bao , Tianyu Pang
Advances in Neural Information Processing Systems 36
5
2024
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Zhengyi Wang , Cheng Lu , Yikai Wang , Fan Bao
NeurIPS (arXiv preprint arXiv:2305.16213)
337
2023
All are worth words: A vit backbone for diffusion models
Fan Bao , Shen Nie , Kaiwen Xue , Yue Cao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 22669 -22679
141
2023
Estimating the optimal covariance with imperfect mean in diffusion probabilistic models
Fan Bao , Chongxuan Li , Jiacheng Sun , Jun Zhu
ICML (arXiv preprint arXiv:2206.07309)
59
2022
Stability and generalization of bilevel programming in hyperparameter optimization
Fan Bao , Guoqiang Wu , Chongxuan Li , Jun Zhu
Advances in neural information processing systems 34 4529 -4541
24
2021
Diffusion models and semi-supervised learners benefit mutually with few labels
Zebin You , Yong Zhong , Fan Bao , Jiacheng Sun
Advances in Neural Information Processing Systems 36
15
2024
A closer look at parameter-efficient tuning in diffusion models
Chendong Xiang , Fan Bao , Chongxuan Li , Hang Su
arXiv preprint arXiv:2303.18181
10
2023
Variational (gradient) estimate of the score function in energy-based latent variable models
Fan Bao , Kun Xu , Chongxuan Li , Lanqing Hong
International Conference on Machine Learning 651 -661
8
2021
Vidu: a highly consistent, dynamic and skilled text-to-video generator with diffusion models
Fan Bao , Chendong Xiang , Gang Yue , Guande He
arXiv preprint arXiv:2405.04233
3
2024
Boosting Generative Models by Leveraging Cascaded Meta-Models
Fan Bao , Hang Su , Jun Zhu
arXiv preprint arXiv:1905.04534
2019
One transformer fits all distributions in multi-modal diffusion at scale
Fan Bao , Shen Nie , Kaiwen Xue , Chongxuan Li
International Conference on Machine Learning 1692 -1717
76
2023