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2020 – today
- 2024
[i27]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 abs/2405.04233 (2024)- [i26]Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu:
Diffusion Bridge Implicit Models. CoRR abs/2405.15885 (2024) - [i25]Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu:
Consistency Diffusion Bridge Models. CoRR abs/2410.22637 (2024) - 2023
- [c17]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: 22669-22679 - [c16]Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu:
Equivariant Energy-Guided SDE for Inverse Molecular Design. ICLR 2023 - [c15]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 - [c14]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: 1692-1717 - [c13]Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu:
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications. ICML 2023: 42420-42477 - [c12]Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li:
Gaussian Mixture Solvers for Diffusion Models. NeurIPS 2023 - [c11]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 - [c10]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 - [i24]Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu:
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications. CoRR abs/2302.02334 (2023) - [i23]Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu:
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels. CoRR abs/2302.10586 (2023) - [i22]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 abs/2303.06555 (2023) - [i21]Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu:
A Closer Look at Parameter-Efficient Tuning in Diffusion Models. CoRR abs/2303.18181 (2023) - [i20]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 abs/2305.16213 (2023) - [i19]Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu:
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing. CoRR abs/2305.17098 (2023) - [i18]Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang
, Shuicheng Yan, Chao Du, Chongxuan Li:
Gaussian Mixture Solvers for Diffusion Models. CoRR abs/2311.00941 (2023) - 2022
- [c9]Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang:
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models. ICLR 2022 - [c8]Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang:
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. ICML 2022: 1555-1584 - [c7]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: 14429-14460 - [c6]Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu:
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. NeurIPS 2022 - [c5]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 - [i17]Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang:
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models. CoRR abs/2201.06503 (2022) - [i16]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 abs/2206.00927 (2022) - [i15]Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang:
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. CoRR abs/2206.07309 (2022) - [i14]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 abs/2206.08265 (2022) - [i13]Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu:
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. CoRR abs/2207.06635 (2022) - [i12]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 abs/2208.14133 (2022) - [i11]Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu:
All are Worth Words: a ViT Backbone for Score-based Diffusion Models. CoRR abs/2209.12152 (2022) - [i10]Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu:
Equivariant Energy-Guided SDE for Inverse Molecular Design. CoRR abs/2209.15408 (2022) - [i9]Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. CoRR abs/2211.01095 (2022) - [i8]Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu:
Why Are Conditional Generative Models Better Than Unconditional Ones? CoRR abs/2212.00362 (2022) - 2021
- [c4]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: 651-661 - [c3]Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang:
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization. NeurIPS 2021: 4529-4541 - [i7]Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang:
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization. CoRR abs/2106.04188 (2021) - 2020
- [c2]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 - [i6]Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang:
Bi-level Score Matching for Learning Energy-based Latent Variable Models. CoRR abs/2010.07856 (2020) - [i5]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 abs/2010.08258 (2020)
2010 – 2019
- 2019
- [i4]Yinpeng Dong, Fan Bao, Hang Su, Jun Zhu:
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples. CoRR abs/1901.09035 (2019) - [i3]Fan Bao, Hang Su, Jun Zhu:
Boosting Generative Models by Leveraging Cascaded Meta-Models. CoRR abs/1905.04534 (2019) - 2017
- [i2]Yinpeng Dong, Hang Su, Jun Zhu, Fan Bao:
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples. CoRR abs/1708.05493 (2017) - 2016
- [j4]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): 131:1-131:12 (2016) - 2015
- [i1]Chi-Han Peng, Niloy J. Mitra, Fan Bao, Dong-Ming Yan, Peter Wonka:
Computational Network Design from Functional Specifications. CoRR abs/1510.09203 (2015) - 2014
- [b1]Fan Bao:
Generating and Exploring Design Variations for Architectural and Urban Layouts. Arizona State University, Tempe, USA, 2014 - 2013
- [j3]Fan Bao, Michael Schwarz, Peter Wonka:
Procedural facade variations from a single layout. ACM Trans. Graph. 32(1): 8:1-8:13 (2013) - [j2]Fan Bao, Dong-Ming Yan, Niloy J. Mitra, Peter Wonka:
Generating and exploring good building layouts. ACM Trans. Graph. 32(4): 122:1-122:10 (2013) - 2011
- [j1]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): 231-243 (2011)
2000 – 2009
- 2007
- [c1]Fan Bao, Yankui Sun, Xiaolin Tian, Zesheng Tang:
3D Head Reconstruction and Color Visualization of Chinese Visible Human. MIMI 2007: 262-269
Coauthor Index
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