9 citations · 17 across the 7 of their papers we have counts for
7 papers
learning discriminative features from spectrograms using center loss for speech emotion recognition
Dongyang Dai, Zhiyong Wu, Runnan Li +3
Identifying the emotional state from speech is essential for the natural interaction of the machine with the speaker. However, extracting effective features for emotion recognition…
VAST: Vivify Your Talking Avatar via Zero-Shot Expressive Facial Style Transfer
Liyang Chen, Zhiyong Wu, Runnan Li +4
Current talking face generation methods mainly focus on speech-lip synchronization. However, insufficient investigation on the facial talking style leads to a lifeless and monotono…
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
Zenghao Chai, Tianke Zhang, Tianyu He +7
3D Morphable Models (3DMMs) demonstrate great potential for reconstructing faithful and animatable 3D facial surfaces from a single image. The facial surface is influenced by the c…
ERA-Solver: Error-Robust Adams Solver for Fast Sampling of Diffusion Probabilistic Models
Shengming Li, Luping Liu, Runnan Li +1
Though denoising diffusion probabilistic models (DDPMs) have achieved remarkable generation results, the low sampling efficiency of DDPMs still limits further applications. Since D…
Memories are One-to-Many Mapping Alleviators in Talking Face Generation
Anni Tang, Tianyu He, Xu Tan +2
Talking face generation aims at generating photo-realistic video portraits of a target person driven by input audio. Due to its nature of one-to-many mapping from the input audio t…
StableFace: Analyzing and Improving Motion Stability for Talking Face Generation
Jun Ling, Xu Tan, Liyang Chen +4
While previous speech-driven talking face generation methods have made significant progress in improving the visual quality and lip-sync quality of the synthesized videos, they pay…
Transformer-S2A: Robust and Efficient Speech-to-Animation
Liyang Chen, Zhiyong Wu, Jun Ling +3
We propose a novel robust and efficient Speech-to-Animation (S2A) approach for synchronized facial animation generation in human-computer interaction. Compared with conventional ap…