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2020 – today
- 2024
[c6]Yanwu Xu, Yang Zhao, Zhisheng Xiao, Tingbo Hou:
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs. CVPR 2024: 8196-8206- [c5]Yang Zhao, Yanwu Xu, Zhisheng Xiao, Haolin Jia, Tingbo Hou:
MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices. ECCV (62) 2024: 225-242 - [i17]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 abs/2405.16852 (2024) - [i16]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:
Imagen 3. CoRR abs/2408.07009 (2024) - 2023
- [i15]Yanwu Xu, Yang Zhao, Zhisheng Xiao, Tingbo Hou:
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs. CoRR abs/2311.09257 (2023) - [i14]Yang Zhao, Yanwu Xu, Zhisheng Xiao, Tingbo Hou:
MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices. CoRR abs/2311.16567 (2023) - [i13]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 abs/2312.00079 (2023) - [i12]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 abs/2312.03771 (2023) - 2022
- [j2]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): 9285-9297 (2022) - [c4]Zhisheng Xiao, Karsten Kreis, Arash Vahdat:
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. ICLR 2022 - [c3]Zhisheng Xiao, Tian Han:
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model. NeurIPS 2022 - [i11]Zhisheng Xiao, Tian Han:
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model. CoRR abs/2209.08739 (2022) - 2021
- [j1]Peijun Xiao, Zhisheng Xiao, Ruoyu Sun:
Two Symmetrized Coordinate Descent Methods Can Be O(n2) Times Slower Than the Randomized Version. SIAM J. Optim. 31(4): 2726-2752 (2021) - [c2]Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat:
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. ICLR 2021 - [i10]Zhisheng Xiao, Qing Yan, Yali Amit:
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss. CoRR abs/2102.11757 (2021) - [i9]Zhisheng Xiao, Qing Yan, Yali Amit:
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? CoRR abs/2105.09270 (2021) - [i8]Zhisheng Xiao, Karsten Kreis, Arash Vahdat:
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs. CoRR abs/2112.07804 (2021) - 2020
- [c1]Zhisheng Xiao, Qing Yan, Yali Amit:
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. NeurIPS 2020 - [i7]Zhisheng Xiao, Qing Yan, Yali Amit:
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder. CoRR abs/2003.02977 (2020) - [i6]Zhisheng Xiao, Qing Yan, Yali Amit:
Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy. CoRR abs/2006.08100 (2020) - [i5]Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat:
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models. CoRR abs/2010.00654 (2020) - [i4]Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. CoRR abs/2011.01754 (2020)
2010 – 2019
- 2019
- [i3]Zhisheng Xiao, Qing Yan, Yi-an Chen, Yali Amit:
Generative Latent Flow: A Framework for Non-adversarial Image Generation. CoRR abs/1905.10485 (2019) - [i2]Peijun Xiao, Zhisheng Xiao, Ruoyu Sun:
Understanding Limitation of Two Symmetrized Orders by Worst-case Complexity. CoRR abs/1910.04366 (2019) - [i1]Zhisheng Xiao, Qing Yan, Yali Amit:
A Method to Model Conditional Distributions with Normalizing Flows. CoRR abs/1911.02052 (2019)
Coauthor Index
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