no code implementations • 11 Apr 2024 • Guangzhi Wang, Tianyi Chen, Kamran Ghasedi, HsiangTao Wu, Tianyu Ding, Chris Nuesmeyer, Ilya Zharkov, Mohan Kankanhalli, Luming Liang
S3Editor is model-agnostic and compatible with various editing approaches.
1 code implementation • 15 Dec 2023 • Tianyi Chen, Tianyu Ding, Zhihui Zhu, Zeyu Chen, HsiangTao Wu, Ilya Zharkov, Luming Liang
Compressing a predefined deep neural network (DNN) into a compact sub-network with competitive performance is crucial in the efficient machine learning realm.
no code implementations • 26 Nov 2023 • Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, Sheng Zhao, Jiang Bian
Zero-shot talking avatar generation aims at synthesizing natural talking videos from speech and a single portrait image.
no code implementations • ICCV 2023 • Zenghao Chai, Tianke Zhang, Tianyu He, Xu Tan, Tadas Baltrušaitis, HsiangTao Wu, Runnan Li, Sheng Zhao, Chun Yuan, Jiang Bian
3D Morphable Models (3DMMs) demonstrate great potential for reconstructing faithful and animatable 3D facial surfaces from a single image.
Ranked #1 on 3D Face Reconstruction on REALY (side-view)
1 code implementation • CVPR 2023 • BoWen Zhang, Chenyang Qi, Pan Zhang, Bo Zhang, HsiangTao Wu, Dong Chen, Qifeng Chen, Yong Wang, Fang Wen
In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects.
no code implementations • CVPR 2023 • Yu Yin, Kamran Ghasedi, HsiangTao Wu, Jiaolong Yang, Xin Tong, Yun Fu
Furthermore, our method leverages explicit and implicit 3D regularizations using the in-domain neighborhood samples around the optimized latent code to remove geometrical and visual artifacts.
no code implementations • ECCV 2020 • Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu, Baoyuan Wang
In this paper, we introduce a novel approach to learn a 3D face model using a joint-based face rig and a neural skinning network.