24 citations · 33 across the 2 of their papers we have counts for
4 papers
Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion
Suzhen Wang, Lincheng Li, Yu Ding +2
We propose an audio-driven talking-head method to generate photo-realistic talking-head videos from a single reference image. In this work, we tackle two key challenges: (i) produc…
Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition
Wei Zhang, Zunhu Guo, Keyu Chen +3
Automatic affective recognition has been an important research topic in human computer interaction (HCI) area. With recent development of deep learning techniques and large scale i…
Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
Lincheng Li, Suzhen Wang, Zhimeng Zhang +4
In this paper, we propose a novel text-based talking-head video generation framework that synthesizes high-fidelity facial expressions and head motions in accordance with contextua…
FReeNet: Multi-Identity Face Reenactment
Jiangning Zhang, Xianfang Zeng, Mengmeng Wang +5
This paper presents a novel multi-identity face reenactment framework, named FReeNet, to transfer facial expressions from an arbitrary source face to a target face with a shared mo…