Fan Bao

59 papers A* 19Misc 2Journal 36Unranked 1
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Bridge-SR: Schrödinger Bridge for Efficient SR.
ICASSP
Chang Li, Zehua Chen, Fan Bao, Jun Zhu
2025 J jnl
Bridge-SR: Schrödinger Bridge for Efficient SR.
CoRR
Chang Li, Zehua Chen, Fan Bao, Jun Zhu
2025 J jnl
ControlVideo: conditional control for one-shot text-driven video editing and beyond.
Sci. China Inf. Sci.
Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
2025 J jnl
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.
Mach. Intell. Res.
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2025 Misc conf
DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap.
ICASSP
Shentong Mo, Zehua Chen, Fan Bao, Jun Zhu
2025 J jnl
DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap.
CoRR
Shentong Mo, Zehua Chen, Fan Bao, Jun Zhu
2025 A* conf
Diffusion Bridge Implicit Models.
ICLR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025 A* conf
Elucidating the Preconditioning in Consistency Distillation.
ICLR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025 J jnl
Elucidating the Preconditioning in Consistency Distillation.
CoRR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2024 A* conf
Consistency Diffusion Bridge Models.
NeurIPS
Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu
2024 J jnl
Consistency Diffusion Bridge Models.
CoRR
Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu
2024 J jnl
Diffusion Bridge Implicit Models.
CoRR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2024 J jnl
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.
CoRR
Fan Bao, Chendong Xiang, Gang Yue, Guande He, Hongzhou Zhu, Kaiwen Zheng, Min Zhao, Shilong Liu, Yaole Wang, Jun Zhu
2023 J jnl
A Closer Look at Parameter-Efficient Tuning in Diffusion Models.
CoRR
Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
2023 A* conf
All are Worth Words: A ViT Backbone for Diffusion Models.
CVPR
Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu
2023 J jnl
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing.
CoRR
Min Zhao, Rongzhen Wang, Fan Bao, Chongxuan Li, Jun Zhu
2023 A* conf
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models.
ICLR
Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li
2023 A* conf
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.
NeurIPS
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
2023 J jnl
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.
CoRR
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
2023 A* conf
Equivariant Energy-Guided SDE for Inverse Molecular Design.
ICLR
Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
2023 A* conf
Gaussian Mixture Solvers for Diffusion Models.
NeurIPS
Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li
2023 J jnl
Gaussian Mixture Solvers for Diffusion Models.
CoRR
Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li
2023 A* conf
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.
ICML
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
2023 J jnl
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.
CoRR
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
2023 A* conf
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.
NeurIPS
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
2023 J jnl
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.
CoRR
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu
2023 A* conf
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications.
ICML
Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu
2023 J jnl
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications.
CoRR
Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu
2022 J jnl
All are Worth Words: a ViT Backbone for Score-based Diffusion Models.
CoRR
Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu
2022 A* conf
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.
ICLR
Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
2022 J jnl
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.
CoRR
Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
2022 J jnl
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.
CoRR
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022 A* conf
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.
NeurIPS
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022 J jnl
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.
CoRR
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022 J jnl
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models.
CoRR
Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li
2022 A* conf
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations.
NeurIPS
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
2022 J jnl
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations.
CoRR
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu
2022 J jnl
Equivariant Energy-Guided SDE for Inverse Molecular Design.
CoRR
Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
2022 A* conf
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.
ICML
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
2022 J jnl
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.
CoRR
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
2022 J jnl
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching.
CoRR
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022 A* conf
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching.
ICML
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022 J jnl
Why Are Conditional Generative Models Better Than Unconditional Ones?
CoRR
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
2021 A* conf
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization.
NeurIPS
Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang
2021 J jnl
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization.
CoRR
Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang
2021 A* conf
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.
ICML
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
2020 A* conf
Bi-level Score Matching for Learning Energy-based Latent Variable Models.
NeurIPS
Fan Bao, Chongxuan Li, Taufik Xu, Hang Su, Jun Zhu, Bo Zhang
2020 J jnl
Bi-level Score Matching for Learning Energy-based Latent Variable Models.
CoRR
Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang
2020 J jnl
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.
CoRR
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
2019 J jnl
Boosting Generative Models by Leveraging Cascaded Meta-Models.
CoRR
Fan Bao, Hang Su, Jun Zhu
2019 J jnl
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.
CoRR
Yinpeng Dong, Fan Bao, Hang Su, Jun Zhu
2017 J jnl
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.
CoRR
Yinpeng Dong, Hang Su, Jun Zhu, Fan Bao
2016 J jnl
Computational network design from functional specifications.
ACM Trans. Graph.
Chi-Han Peng, Yong-Liang Yang, Fan Bao, Daniel Fink, Dong-Ming Yan, Peter Wonka, Niloy J. Mitra
2015 J jnl
Computational Network Design from Functional Specifications.
CoRR
Chi-Han Peng, Niloy J. Mitra, Fan Bao, Dong-Ming Yan, Peter Wonka
2014 — —
Generating and Exploring Design Variations for Architectural and Urban Layouts.
Fan Bao
2013 J jnl
Generating and exploring good building layouts.
ACM Trans. Graph.
Fan Bao, Dong-Ming Yan, Niloy J. Mitra, Peter Wonka
2013 J jnl
Procedural facade variations from a single layout.
ACM Trans. Graph.
Fan Bao, Michael Schwarz, Peter Wonka
2011 J jnl
Geometry Synthesis on Surfaces Using Field-Guided Shape Grammars.
IEEE Trans. Vis. Comput. Graph.
YuanYuan Li, Fan Bao, Eugene Zhang, Yoshihiro Kobayashi, Peter Wonka
2007 — conf
3D Head Reconstruction and Color Visualization of Chinese Visible Human.
MIMI
Fan Bao, Yankui Sun, Xiaolin Tian, Zesheng Tang