2 code implementations • 9 Apr 2024 • Ming Tao, Bing-Kun Bao, Hao Tang, YaoWei Wang, Changsheng Xu
3) The story visualization and continuation models are trained and inferred independently, which is not user-friendly.
no code implementations • 26 Mar 2023 • Zhuoying Zhao, Ziling Tan, Pinghui Mo, Xiaonan Wang, Dan Zhao, Xin Zhang, Ming Tao, Jie Liu
This paper proposes a special-purpose system to achieve high-accuracy and high-efficiency machine learning (ML) molecular dynamics (MD) calculations.
2 code implementations • CVPR 2023 • Ming Tao, Bing-Kun Bao, Hao Tang, Changsheng Xu
The complex scene understanding ability of CLIP enables the discriminator to accurately assess the image quality.
Ranked #3 on Text-to-Image Generation on CUB
1 code implementation • 2 Jun 2022 • Ming Tao, Bing-Kun Bao, Hao Tang, Fei Wu, Longhui Wei, Qi Tian
To solve these limitations, we propose: (i) a Dynamic Editing Block (DEBlock) which composes different editing modules dynamically for various editing requirements.
3 code implementations • CVPR 2022 • Ming Tao, Hao Tang, Fei Wu, Xiao-Yuan Jing, Bing-Kun Bao, Changsheng Xu
To these ends, we propose a simpler but more effective Deep Fusion Generative Adversarial Networks (DF-GAN).
Ranked #4 on Text-to-Image Generation on CUB (Inception score metric)
1 code implementation • 8 Jul 2020 • Xiaofeng Zhang, Feng Chen, Cailing Wang, Songsong Wu, Ming Tao, Guoping Jiang
In this paper, a novel two-stage siamese adversarial model for image extrapolation, named Siamese Expansion Network (SiENet) is proposed.