no code implementations • 6 Feb 2024 • Haotian Yang, Mingwu Zheng, Chongyang Ma, Yu-Kun Lai, Pengfei Wan, Haibin Huang
In this paper, we introduce the Volumetric Relightable Morphable Model (VRMM), a novel volumetric and parametric facial prior for 3D face modeling.
no code implementations • 27 Dec 2023 • Xun Guo, Mingwu Zheng, Liang Hou, Yuan Gao, Yufan Deng, Pengfei Wan, Di Zhang, Yufan Liu, Weiming Hu, ZhengJun Zha, Haibin Huang, Chongyang Ma
I2V-Adapter adeptly propagates the unnoised input image to subsequent noised frames through a cross-frame attention mechanism, maintaining the identity of the input image without any changes to the pretrained T2V model.
1 code implementation • 7 Dec 2023 • Mingwu Zheng, Haiyu Zhang, Hongyu Yang, Liming Chen, Di Huang
Accurate representations of 3D faces are of paramount importance in various computer vision and graphics applications.
no code implementations • 8 Sep 2023 • Haotian Yang, Mingwu Zheng, Wanquan Feng, Haibin Huang, Yu-Kun Lai, Pengfei Wan, Zhongyuan Wang, Chongyang Ma
Specifically, TRAvatar is trained with dynamic image sequences captured in a Light Stage under varying lighting conditions, enabling realistic relighting and real-time animation for avatars in diverse scenes.
1 code implementation • CVPR 2023 • Mingwu Zheng, Haiyu Zhang, Hongyu Yang, Di Huang
Realistic face rendering from multi-view images is beneficial to various computer vision and graphics applications.
2 code implementations • CVPR 2022 • Mingwu Zheng, Hongyu Yang, Di Huang, Liming Chen
Precise representations of 3D faces are beneficial to various computer vision and graphics applications.
Ranked #2 on Face Alignment on FaceScape