no code implementations • 18 Mar 2024 • Bojia Zi, Shihao Zhao, Xianbiao Qi, Jianan Wang, Yukai Shi, Qianyu Chen, Bin Liang, Kam-Fai Wong, Lei Zhang
To this end, this paper proposes a novel text-guided video inpainting model that achieves better consistency, controllability and compatibility.
1 code implementation • 12 Mar 2024 • Shihao Zhao, Shaozhe Hao, Bojia Zi, Huaizhe xu, Kwan-Yee K. Wong
In this paper, we explore this objective and propose LaVi-Bridge, a pipeline that enables the integration of diverse pre-trained language models and generative vision models for text-to-image generation.
1 code implementation • 1 Jun 2023 • Shaozhe Hao, Kai Han, Shihao Zhao, Kwan-Yee K. Wong
Personalized text-to-image generation using diffusion models has recently emerged and garnered significant interest.
1 code implementation • NeurIPS 2023 • Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong
Text-to-Image diffusion models have made tremendous progress over the past two years, enabling the generation of highly realistic images based on open-domain text descriptions.
1 code implementation • ICCV 2021 • Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang
We empirically demonstrate the effectiveness of our RSLAD approach over existing adversarial training and distillation methods in improving the robustness of small models against state-of-the-art attacks including the AutoAttack.
no code implementations • 18 Jan 2021 • Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang
In this paper, we focus on image classification and propose a method to visualize and understand the class-wise knowledge (patterns) learned by DNNs under three different settings including natural, backdoor and adversarial.
1 code implementation • CVPR 2020 • Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang
We propose the use of a universal adversarial trigger as the backdoor trigger to attack video recognition models, a situation where backdoor attacks are likely to be challenged by the above 4 strict conditions.