Fan Bao

According to our database1, Fan Bao authored at least 41 papers between 2007 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models.
CoRR, May, 2026

MotuBrain: An Advanced World Action Model for Robot Control.
CoRR, April, 2026

2025
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.
Mach. Intell. Res., August, 2025

ControlVideo: conditional control for one-shot text-driven video editing and beyond.
Sci. China Inf. Sci., 2025

Diffusion Bridge Implicit Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Elucidating the Preconditioning in Consistency Distillation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Bridge-SR: Schrödinger Bridge for Efficient SR.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.
CoRR, 2024

Consistency Diffusion Bridge Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing.
CoRR, 2023

A Closer Look at Parameter-Efficient Tuning in Diffusion Models.
CoRR, 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.
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.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.
Proceedings of the International Conference on Machine Learning, 2023

Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Equivariant Energy-Guided SDE for Inverse Molecular Design.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

All are Worth Words: A ViT Backbone for Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Why Are Conditional Generative Models Better Than Unconditional Ones?
CoRR, 2022

All are Worth Words: a ViT Backbone for Score-based Diffusion Models.
CoRR, 2022

Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models.
CoRR, 2022

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.
Proceedings of the International Conference on Machine Learning, 2022

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models.
CoRR, 2020

Bi-level Score Matching for Learning Energy-based Latent Variable Models.
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.
CoRR, 2019

2017
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.
CoRR, 2017

2016
Computational network design from functional specifications.
ACM Trans. Graph., 2016

2015
Computational Network Design from Functional Specifications.
CoRR, 2015

2014
Generating and Exploring Design Variations for Architectural and Urban Layouts.
PhD thesis, 2014

2013
Generating and exploring good building layouts.
ACM Trans. Graph., 2013

Procedural facade variations from a single layout.
ACM Trans. Graph., 2013

2011
Geometry Synthesis on Surfaces Using Field-Guided Shape Grammars.
IEEE Trans. Vis. Comput. Graph., 2011

2007
3D Head Reconstruction and Color Visualization of Chinese Visible Human.
Proceedings of the Medical Imaging and Informatics, 2nd International Conference, 2007


  Loading...