5 papers
Beyond Monologue: Interactive Talking-Listening Avatar Generation with Conversational Audio Context-Aware Kernels
Yuzhe Weng, Haotian Wang, Xinyi Yu +4
Audio-driven human video generation has achieved remarkable success in monologue scenarios, largely driven by advancements in powerful video generation foundation models. Moving be…
EARTalking: End-to-end GPT-style Autoregressive Talking Head Synthesis with Frame-wise Control
Yuzhe Weng, Haotian Wang, Yuanhong Yu +4
Audio-driven talking head generation aims to create vivid and realistic videos from a static portrait and speech. Existing AR-based methods rely on intermediate facial representati…
REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation
Haotian Wang, Yuzhe Weng, Jun Du +6
Diffusion models have significantly advanced the field of talking head generation (THG). However, slow inference speeds and prevalent non-autoregressive paradigms severely constrai…
READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation
Haotian Wang, Yuzhe Weng, Jun Du +7
The introduction of diffusion models has brought significant advances to the field of audio-driven talking head generation. However, the extremely slow inference speed severely lim…
EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion
Haotian Wang, Yuzhe Weng, Yueyan Li +10
Diffusion models have revolutionized the field of talking head generation, yet still face challenges in expressiveness, controllability, and stability in long-time generation. In t…