Zhisheng Xiao

According to our database, Zhisheng Xiao authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Imagen 3.

Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg

CoRR, 2024

EM Distillation for One-step Diffusion Models.

Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao

CoRR, 2024

MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices.

Yang Zhao, Yanwu Xu, Zhisheng Xiao, Haolin Jia, Tingbo Hou

Proceedings of the Computer Vision - ECCV 2024, 2024

UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs.

Yanwu Xu, Yang Zhao, Zhisheng Xiao, Tingbo Hou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models.

Shaoan Xie, Yang Zhao, Zhisheng Xiao, Kelvin C. K. Chan, Yandong Li, Yanwu Xu, Kun Zhang, Tingbo Hou

CoRR, 2023

HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models.

Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi, Tingbo Hou

CoRR, 2023

MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices.

Yang Zhao, Yanwu Xu, Zhisheng Xiao, Tingbo Hou

CoRR, 2023

2022

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.

Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model.

Zhisheng Xiao, Tian Han

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

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

Zhisheng Xiao, Karsten Kreis, Arash Vahdat

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Two Symmetrized Coordinate Descent Methods Can Be O(n²⁾ Times Slower Than the Randomized Version.

Peijun Xiao, Zhisheng Xiao, Ruoyu Sun

SIAM J. Optim., 2021

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2021

EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss.

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2021

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models.

Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.

Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher

CoRR, 2020

Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy.

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2020

Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder.

Zhisheng Xiao, Qing Yan, Yali Amit

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

2019

A Method to Model Conditional Distributions with Normalizing Flows.

Zhisheng Xiao, Qing Yan, Yali Amit

CoRR, 2019

Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity.

Peijun Xiao, Zhisheng Xiao, Ruoyu Sun

CoRR, 2019

Generative Latent Flow: A Framework for Non-adversarial Image Generation.

Zhisheng Xiao, Qing Yan, Yi-an Chen, Yali Amit

CoRR, 2019