activity
20232025
most citedDreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models

9 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Exploring Timeline Control for Facial Motion Generation

Yifeng Ma, Jinwei Qi, Chaonan Ji +4

This paper introduces a new control signal for facial motion generation: timeline control. Compared to audio and text signals, timelines provide more fine-grained control, such as…

cs.CV2024★ 1 cited

StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads

Suzhen Wang, Yifeng Ma, Yu Ding +5

Individuals have unique facial expression and head pose styles that reflect their personalized speaking styles. Existing one-shot talking head methods cannot capture such personali…

cs.CV2023★ 9 cited

DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models

Yifeng Ma, Shiwei Zhang, Jiayu Wang +3

Emotional talking head generation has attracted growing attention. Previous methods, which are mainly GAN-based, still struggle to consistently produce satisfactory results across…

cs.CV2023★ 6 cited

TalkCLIP: Talking Head Generation with Text-Guided Expressive Speaking Styles

Yifeng Ma, Suzhen Wang, Yu Ding +6

Audio-driven talking head generation has drawn growing attention. To produce talking head videos with desired facial expressions, previous methods rely on extra reference videos to…

cs.CV2023

StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles

Yifeng Ma, Suzhen Wang, Zhipeng Hu +5

Different people speak with diverse personalized speaking styles. Although existing one-shot talking head methods have made significant progress in lip sync, natural facial express…