Fan Bao

According to our database¹, Fan Bao authored at least 36 papers between 2007 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Consistency Diffusion Bridge Models.

[BibT_eX]

[DOI]

CoRR, 2024

Diffusion Bridge Implicit Models.

[BibT_eX]

[DOI]

CoRR, 2024

Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing.

[BibT_eX]

[DOI]

CoRR, 2023

A Closer Look at Parameter-Efficient Tuning in Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.

[BibT_eX]

[DOI]

CoRR, 2023

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gaussian Mixture Solvers for Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Equivariant Energy-Guided SDE for Inverse Molecular Design.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

All are Worth Words: A ViT Backbone for Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Why Are Conditional Generative Models Better Than Unconditional Ones?

[BibT_eX]

[DOI]

CoRR, 2022

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

CoRR, 2022

All are Worth Words: a ViT Backbone for Score-based Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2022

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Stability and Generalization of Bilevel Programming in Hyperparameter Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.

[BibT_eX]

[DOI]

CoRR, 2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Boosting Generative Models by Leveraging Cascaded Meta-Models.

[BibT_eX]

[DOI]

Fan Bao

Hang Su

Jun Zhu

CoRR, 2019

2017

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Computational network design from functional specifications.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2016

2015

Computational Network Design from Functional Specifications.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Generating and Exploring Design Variations for Architectural and Urban Layouts.

[BibT_eX]

[DOI]

Fan Bao

PhD thesis, 2014

2013

Generating and exploring good building layouts.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2013

Procedural facade variations from a single layout.

[BibT_eX]

[DOI]

Fan Bao

Michael Schwarz

Peter Wonka

ACM Trans. Graph., 2013

2011

Geometry Synthesis on Surfaces Using Field-Guided Shape Grammars.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2011

2007

3D Head Reconstruction and Color Visualization of Chinese Visible Human.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging and Informatics, 2nd International Conference, 2007

Fan Bao

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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