4 papers
T2A-Feedback: Improving Basic Capabilities of Text-to-Audio Generation via Fine-grained AI Feedback
Zehan Wang, Ke Lei, Chen Zhu +8
Text-to-audio (T2A) generation has achieved remarkable progress in generating a variety of audio outputs from language prompts. However, current state-of-the-art T2A models still s…
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching
Yongqi Wang, Wenxiang Guo, Rongjie Huang +5
Video-to-audio (V2A) generation aims to synthesize content-matching audio from silent video, and it remains challenging to build V2A models with high generation quality, efficiency…
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes
Zhenhui Ye, Tianyun Zhong, Yi Ren +10
Talking face generation (TFG) aims to animate a target identity's face to create realistic talking videos. Personalized TFG is a variant that emphasizes the perceptual identity sim…
MulliVC: Multi-lingual Voice Conversion With Cycle Consistency
Jiawei Huang, Chen Zhang, Yi Ren +6
Voice conversion aims to modify the source speaker's voice to resemble the target speaker while preserving the original speech content. Despite notable advancements in voice conver…