Search Results for author: Tianshu Hu

Found 7 papers, 2 papers with code

INFP: Audio-Driven Interactive Head Generation in Dyadic Conversations

no code implementations5 Dec 2024 Yongming Zhu, Longhao Zhang, Zhengkun Rong, Tianshu Hu, Shuang Liang, Zhipeng Ge

The second stage learns the mapping from the input dyadic audio to motion latent codes through denoising, leading to the audio-driven head generation in interactive scenarios.

Denoising Motion Generation

PersonaTalk: Bring Attention to Your Persona in Visual Dubbing

no code implementations9 Sep 2024 Longhao Zhang, Shuang Liang, Zhipeng Ge, Tianshu Hu

In this paper, we present PersonaTalk, an attention-based two-stage framework, including geometry construction and face rendering, for high-fidelity and personalized visual dubbing.

Building an Invisible Shield for Your Portrait against Deepfakes

no code implementations22 May 2023 Jiazhi Guan, Tianshu Hu, Hang Zhou, Zhizhi Guo, Lirui Deng, Chengbin Quan, Errui Ding, Youjian Zhao

Unlike authentic images, where the hidden messages can be extracted with precision, manipulating the facial attributes through deepfake techniques can disrupt the decoding process.

Face Swapping

StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-based Generator

no code implementations CVPR 2023 Jiazhi Guan, Zhanwang Zhang, Hang Zhou, Tianshu Hu, Kaisiyuan Wang, Dongliang He, Haocheng Feng, Jingtuo Liu, Errui Ding, Ziwei Liu, Jingdong Wang

Despite recent advances in syncing lip movements with any audio waves, current methods still struggle to balance generation quality and the model's generalization ability.

Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition

2 code implementations22 Nov 2022 Jiaxiang Tang, Kaisiyuan Wang, Hang Zhou, Xiaokang Chen, Dongliang He, Tianshu Hu, Jingtuo Liu, Gang Zeng, Jingdong Wang

While dynamic Neural Radiance Fields (NeRF) have shown success in high-fidelity 3D modeling of talking portraits, the slow training and inference speed severely obstruct their potential usage.

NeRF Talking Face Generation

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