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.
no code implementations • 5 Sep 2023 • Bojia Zi, Xianbiao Qi, Lingzhi Wang, Jianan Wang, Kam-Fai Wong, Lei Zhang
In this paper, we present Delta-LoRA, which is a novel parameter-efficient approach to fine-tune large language models (LLMs).
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.
1 code implementation • 5 Jan 2021 • Bojia Zi, Minghao Chang, Jingjing Chen, Xingjun Ma, Yu-Gang Jiang
WildDeepfake is a small dataset that can be used, in addition to existing datasets, to develop and test the effectiveness of deepfake detectors against real-world deepfakes.