no code implementations • 4 Mar 2024 • Xuannan Liu, Peipei Li, Huaibo Huang, Zekun Li, Xing Cui, Jiahao Liang, Lixiong Qin, Weihong Deng, Zhaofeng He
In this paper, we propose FakeNewsGPT4, a novel framework that augments Large Vision-Language Models (LVLMs) with forgery-specific knowledge for manipulation reasoning while inheriting extensive world knowledge as complementary.
no code implementations • 28 Dec 2023 • Qianrui Teng, Rui Wang, Xing Cui, Peipei Li, Zhaofeng He
Existing face aging methods often focus on modeling either texture aging or using an entangled shape-texture representation to achieve face aging.
no code implementations • 22 Dec 2023 • Xuannan Liu, Yaoyao Zhong, Xing Cui, Yuhang Zhang, Peipei Li, Weihong Deng
This strategy initially focuses on adapting the masks to the unique individual faces via image-specific training and then enhances their feature-level generalization ability to diverse facial variations of individuals via person-specific training.
no code implementations • 25 Nov 2023 • Xing Cui, Zekun Li, Pei Pei Li, Huaibo Huang, Zhaofeng He
We employ DDIM inversion to extract this noise from the reference image and leverage a diffusion model to generate new stylized images from the "style" noise.
no code implementations • 8 Oct 2023 • Peipei Li, Xing Cui, Yibo Hu, Man Zhang, Ting Yao, Tao Mei
Directly employing small models may result in a significant drop in performance since it is difficult for a small model to adequately capture local structure and global shape information simultaneously, which are essential clues for point cloud analysis.
no code implementations • 20 Mar 2023 • Xing Cui, Zekun Li, Peipei Li, Yibo Hu, Hailin Shi, Zhaofeng He
This paper explores interactive facial image editing via dialogue and introduces the ChatEdit benchmark dataset for evaluating image editing and conversation abilities in this context.