The blessing of randomness: Sde beats ode in general diffusion-based image editing

Shen Nie , Hanzhong Allan Guo , Cheng Lu , Yuhao Zhou
arXiv preprint arXiv:2311.01410

13
2023
Toward understanding generative data augmentation

Chenyu Zheng , Guoqiang Wu , Chongxuan Li
Advances in Neural Information Processing Systems 36

12
2024
Missdiff: Training diffusion models on tabular data with missing values

Yidong Ouyang , Liyan Xie , Chongxuan Li , Guang Cheng
arXiv preprint arXiv:2307.00467

9
2023
4
2022
Towards understanding generalization of macro-AUC in multi-label learning

Guoqiang Wu , Chongxuan Li , Yilong Yin
International Conference on Machine Learning 37540 -37570

1
2023
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Jingyang Ou , Shen Nie , Kaiwen Xue , Fengqi Zhu
arXiv preprint arXiv:2406.03736

2024
Are Image Distributions Indistinguishable to Humans Indistinguishable to Classifiers?

Zebin You , Xinyu Zhang , Hanzhong Guo , Jingdong Wang
arXiv preprint arXiv:2405.18029

2024
PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Poses

Yong Zhong , Min Zhao , Zebin You , Xiaofeng Yu
arXiv preprint arXiv:2405.14582

2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

Kaiwen Xue , Yuhao Zhou , Shen Nie , Xu Min
arXiv preprint arXiv:2404.15766

2024