Zhisheng Xiao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Image Generation

Diffusion Model

Generative Model

Top Venues

Publications

Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
EM Distillation for One-step Diffusion Models. CoRR (2024)
Yang Zhao, Yanwu Xu, Zhisheng Xiao, Tingbo Hou
MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices. CoRR (2023)
Shaoan Xie, Yang Zhao, Zhisheng Xiao, Kelvin C. K. Chan, Yandong Li, Yanwu Xu, Kun Zhang, Tingbo Hou
DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models. CoRR (2023)
Yanwu Xu, Yang Zhao, Zhisheng Xiao, Tingbo Hou
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs. CoRR (2023)
Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi, Tingbo Hou
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models. CoRR (2023)
Zhisheng Xiao, Tian Han
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model. NeurIPS (2022)
Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Zhisheng Xiao, Tian Han
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model. CoRR (2022)
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. ICLR (2022)
Peijun Xiao, Zhisheng Xiao, Ruoyu Sun
Times Slower Than the Randomized Version. SIAM J. Optim. 31 (4) (2021)
Zhisheng Xiao, Qing Yan, Yali Amit
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss. CoRR (2021)
Zhisheng Xiao, Qing Yan, Yali Amit
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? CoRR (2021)
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. CoRR (2021)
Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. ICLR (2021)
Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. CoRR (2020)
Zhisheng Xiao, Qing Yan, Yali Amit
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. CoRR (2020)
Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. CoRR (2020)
Zhisheng Xiao, Qing Yan, Yali Amit
Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy. CoRR (2020)
Zhisheng Xiao, Qing Yan, Yali Amit
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. NeurIPS (2020)
Peijun Xiao, Zhisheng Xiao, Ruoyu Sun
Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity. CoRR (2019)
Zhisheng Xiao, Qing Yan, Yi-an Chen, Yali Amit
Generative Latent Flow: A Framework for Non-adversarial Image Generation. CoRR (2019)
Zhisheng Xiao, Qing Yan, Yali Amit
A Method to Model Conditional Distributions with Normalizing Flows. CoRR (2019)