activity
20212023
most citedImitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis

50 citations · 62 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 6 cited

Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space

Haoyu Wang, Haozhe Wu, Junliang Xing +1

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. Howe…

cs.CV2023★ 5 cited

Semantics2Hands: Transferring Hand Motion Semantics between Avatars

Zijie Ye, Jia Jia, Junliang Xing

Human hands, the primary means of non-verbal communication, convey intricate semantics in various scenarios. Due to the high sensitivity of individuals to hand motions, even minor…

cs.CV2023★ 1 cited

Speech-Driven 3D Face Animation with Composite and Regional Facial Movements

Haozhe Wu, Songtao Zhou, Jia Jia +3

Speech-driven 3D face animation poses significant challenges due to the intricacy and variability inherent in human facial movements. This paper emphasizes the importance of consid…

cs.SD2022

Towards Cross-speaker Reading Style Transfer on Audiobook Dataset

Xiang Li, Changhe Song, Xianhao Wei +3

Cross-speaker style transfer aims to extract the speech style of the given reference speech, which can be reproduced in the timbre of arbitrary target speakers. Existing methods on…

cs.CV2021★ 50 cited

Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis

Haozhe Wu, Jia Jia, Haoyu Wang +3

People talk with diversified styles. For one piece of speech, different talking styles exhibit significant differences in the facial and head pose movements. For example, the "exci…