no code implementations • 29 May 2024 • Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong
Generative models based on flow matching have attracted significant attention for their simplicity and superior performance in high-resolution image synthesis.
no code implementations • 27 May 2024 • Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Ying Nian Wu
To this end, we formulate an learnable energy-based latent space, and propose Noise-intensified Telescoping density-Ratio Estimation (NTRE) scheme for variational learning of an accurate latent space model without costly Markov Chain Monte Carlo.
no code implementations • 10 Apr 2024 • Yasi Zhang, Peiyu Yu, Ying Nian Wu
Text-to-image diffusion models have shown great success in generating high-quality text-guided images.
no code implementations • 25 Mar 2024 • Yingshan Chang, Yasi Zhang, Zhiyuan Fang, YingNian Wu, Yonatan Bisk, Feng Gao
We hypothesize that the underlying phenomenological coverage has not been proportionally scaled up, leading to a skew of the presented phenomenon which harms generalization.
no code implementations • 20 Feb 2023 • Hengfang Wang, Yasi Zhang, Xiaojun Mao, Zhonglei Wang
Moreover, transduction with matrix completion is a useful method in multi-label learning.