Fan Bao

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 42

Top Venues

CoRR

NeurIPS

ICML

ICLR

Arizona State University, Tempe, USA (PHD)

Education History

Arizona State University, Tempe, USA

PHD

Publications

Fan Bao, Chendong Xiang, Gang Yue, Guande He, Hongzhou Zhu, Kaiwen Zheng, Min Zhao, Shilong Liu, Yaole Wang, Jun Zhu
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models. CoRR (2024)
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
Diffusion Bridge Implicit Models. CoRR (2024)
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation. NeurIPS (2023)
Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li
Gaussian Mixture Solvers for Diffusion Models. NeurIPS (2023)
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation. CoRR (2023)
Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu
All are Worth Words: A ViT Backbone for Diffusion Models. CVPR (2023)
Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
Equivariant Energy-Guided SDE for Inverse Molecular Design. ICLR (2023)
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. ICML (2023)
Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications. ICML (2023)
Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models. ICLR (2023)
Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li
Gaussian Mixture Solvers for Diffusion Models. CoRR (2023)
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels. CoRR (2023)
Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing. CoRR (2023)
Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications. CoRR (2023)
Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
A Closer Look at Parameter-Efficient Tuning in Diffusion Models. CoRR (2023)
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels. NeurIPS (2023)
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. CoRR (2023)
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. CoRR (2022)
Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models. CoRR (2022)
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. CoRR (2022)
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching. ICML (2022)
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. CoRR (2022)
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. NeurIPS (2022)
Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models. CoRR (2022)
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. ICML (2022)
Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
Equivariant Energy-Guided SDE for Inverse Molecular Design. CoRR (2022)
Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models. ICLR (2022)
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. CoRR (2022)
Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu
All are Worth Words: a ViT Backbone for Score-based Diffusion Models. CoRR (2022)
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. NeurIPS (2022)
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
Why Are Conditional Generative Models Better Than Unconditional Ones? CoRR (2022)
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching. CoRR (2022)
Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization. CoRR (2021)
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. ICML (2021)
Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization. NeurIPS (2021)
Fan Bao, Chongxuan Li, Taufik Xu, Hang Su, Jun Zhu, Bo Zhang
Bi-level Score Matching for Learning Energy-based Latent Variable Models. NeurIPS (2020)
Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang
Bi-level Score Matching for Learning Energy-based Latent Variable Models. CoRR (2020)
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. CoRR (2020)
Yinpeng Dong, Fan Bao, Hang Su, Jun Zhu
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples. CoRR (2019)
Fan Bao, Hang Su, Jun Zhu
Boosting Generative Models by Leveraging Cascaded Meta-Models. CoRR (2019)
Yinpeng Dong, Hang Su, Jun Zhu, Fan Bao
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples. CoRR (2017)
Chi-Han Peng, Yong-Liang Yang, Fan Bao, Daniel Fink, Dong-Ming Yan, Peter Wonka, Niloy J. Mitra
Computational network design from functional specifications. ACM Trans. Graph. 35 (4) (2016)
Chi-Han Peng, Niloy J. Mitra, Fan Bao, Dong-Ming Yan, Peter Wonka
Computational Network Design from Functional Specifications. CoRR (2015)
Fan Bao, Michael Schwarz, Peter Wonka
Procedural facade variations from a single layout. ACM Trans. Graph. 32 (1) (2013)
Fan Bao, Dong-Ming Yan, Niloy J. Mitra, Peter Wonka
Generating and exploring good building layouts. ACM Trans. Graph. 32 (4) (2013)
Yuanyuan Li, Fan Bao, Eugene Zhang, Yoshihiro Kobayashi, Peter Wonka
Geometry Synthesis on Surfaces Using Field-Guided Shape Grammars. IEEE Trans. Vis. Comput. Graph. 17 (2) (2011)
Fan Bao, Yankui Sun, Xiaolin Tian, Zesheng Tang
3D Head Reconstruction and Color Visualization of Chinese Visible Human. MIMI (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fan Bao