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of 83
pro vyhledávání: '"Fu, Xiaomeng"'
Locating manipulation maps, i.e., pixel-level annotation of forgery cues, is crucial for providing interpretable detection results in face forgery detection. Related learning objects have also been widely adopted as auxiliary tasks to improve the cla
Externí odkaz:
http://arxiv.org/abs/2409.01030
With the rapid advancements of large-scale text-to-image diffusion models, various practical applications have emerged, bringing significant convenience to society. However, model developers may misuse the unauthorized data to train diffusion models.
Externí odkaz:
http://arxiv.org/abs/2407.13252
Autor:
Yu, Cai, Jia, Shan, Fu, Xiaomeng, Liu, Jin, Tian, Jiahe, Dai, Jiao, Wang, Xi, Lyu, Siwei, Han, Jizhong
With the rising prevalence of deepfakes, there is a growing interest in developing generalizable detection methods for various types of deepfakes. While effective in their specific modalities, traditional detection methods fall short in addressing th
Externí odkaz:
http://arxiv.org/abs/2404.19171
Diffusion models pose risks of privacy breaches and copyright disputes, primarily stemming from the potential utilization of unauthorized data during the training phase. The Training Membership Inference (TMI) task aims to determine whether a specifi
Externí odkaz:
http://arxiv.org/abs/2403.08487
One-shot talking head generation has no explicit head movement reference, thus it is difficult to generate talking heads with head motions. Some existing works only edit the mouth area and generate still talking heads, leading to unreal talking head
Externí odkaz:
http://arxiv.org/abs/2309.16148
Face-to-face communication is a common scenario including roles of speakers and listeners. Most existing research methods focus on producing speaker videos, while the generation of listener heads remains largely overlooked. Responsive listening head
Externí odkaz:
http://arxiv.org/abs/2308.16635
One-shot talking head generation has received growing attention in recent years, with various creative and practical applications. An ideal natural and vivid generated talking head video should contain natural head pose changes. However, it is challe
Externí odkaz:
http://arxiv.org/abs/2303.17789
One-shot talking head generation produces lip-sync talking heads based on arbitrary audio and one source face. To guarantee the naturalness and realness, recent methods propose to achieve free pose control instead of simply editing mouth areas. Howev
Externí odkaz:
http://arxiv.org/abs/2302.08197
Autor:
Wang, Zi, Sun, Miao, Guo, Shuang, Wang, Yongqiang, Meng, Linghao, Shi, Jinchuan, Geng, Chao, Han, Dongxu, Fu, Xiaomeng, Xue, Jiangdong, Ma, Hongxia, Liu, Kai
Publikováno v:
Frontiers in Veterinary Science; 2024, p1-12, 12p
Akademický článek
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