1 code implementation • 14 Oct 2024 • Yue Zhang, Minhao Liu, Zhaokang Chen, Bin Wu, Yubin Zeng, Chao Zhan, Yingjie He, Junxin Huang, Wenjiang Zhou
We propose MuseTalk, which generates lip-sync targets in a latent space encoded by a Variational Autoencoder, enabling high-fidelity talking face video generation with efficient inference.
no code implementations • 26 Apr 2024 • Yuanman Li, Yingjie He, Changsheng chen, Li Dong, Bin Li, Jiantao Zhou, Xia Li
To address these limitations, this study proposes a novel end-to-end CMFD framework that integrates the strengths of conventional and deep learning methods.
no code implementations • 8 Aug 2023 • Yingjie He, Yuanman Li, Changsheng chen, Xia Li
The recently developed deep algorithms achieve promising progress in the field of image copy-move forgery detection (CMFD).