1 code implementation • 20 Mar 2024 • Zixuan Wang, Jia Jia, Shikun Sun, Haozhe Wu, Rong Han, Zhenyu Li, Di Tang, Jiaqing Zhou, Jiebo Luo
However, camera movement synthesis with music and dance remains an unsolved challenging problem due to the scarcity of paired data.
1 code implementation • 11 Aug 2023 • Haoyu Wang, Haozhe Wu, Junliang Xing, Jia Jia
Creating realistic 3D facial animation is crucial for various applications in the movie production and gaming industry, especially with the burgeoning demand in the metaverse.
1 code implementation • 10 Aug 2023 • Haozhe Wu, Songtao Zhou, Jia Jia, Junliang Xing, Qi Wen, Xiang Wen
This paper emphasizes the importance of considering both the composite and regional natures of facial movements in speech-driven 3D face animation.
no code implementations • 10 Jun 2023 • Shuo Huang, Jia Jia, Zongxin Yang, Wei Wang, Haozhe Wu, Yi Yang, Junliang Xing
However, motion interpolation is a more complex problem that takes isolated poses (e. g., only one start pose and one end pose) as input.
1 code implementation • 17 Mar 2023 • Haozhe Wu, Jia Jia, Junliang Xing, Hongwei Xu, Xiangyuan Wang, Jelo Wang
Upon MMFace4D, we construct a non-autoregressive framework for audio-driven 3D face animation.
1 code implementation • 30 Oct 2021 • Haozhe Wu, Jia Jia, Haoyu Wang, Yishun Dou, Chao Duan, Qingshan Deng
Due to such huge differences between different styles, it is necessary to incorporate the talking style into audio-driven talking face synthesis framework.
no code implementations • 16 Sep 2020 • Zijie Ye, Haozhe Wu, Jia Jia, Yaohua Bu, Wei Chen, Fanbo Meng, Yan-Feng Wang
Meanwhile, human choreographers design dance motions from music in a two-stage manner: they firstly devise multiple choreographic dance units (CAUs), each with a series of dance motions, and then arrange the CAU sequence according to the rhythm, melody and emotion of the music.
1 code implementation • ECCV 2020 • Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang, Haozhe Wu, Haizhou Ai, Qi Tian
The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras.
Ranked #16 on
Unsupervised Domain Adaptation
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Direct Transfer Person Re-identification
Domain Adaptive Person Re-Identification
+2
1 code implementation • 17 Nov 2019 • Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua
Next, we define user's attributes as two categories: spatial attributes (e. g., social role of user) and temporal attributes (e. g., post content of user).