From the 1 of 6 linked papers with an AI index.
6 papers
Ripple: Real-Time Streaming Audio-Video Generation With Cross-Modal Recurrent Memory
Yanbo Ding, Zhizhi Guo, Quanyue Song +4
Ripple is a system for real-time joint audio‑video generation that uses a cross‑modal recurrent memory to keep long‑term context while streaming, achieving low latency and coherent…
OmniMate: Open-Ended Real-Time Streaming Audio-Visual Generation for Interactive Avatars
Quanyue Song, Yishan He, Yanbo Ding +4
Recent advances in diffusion-based generative models have enabled real-time audio-driven avatar generation and unified audio-visual synthesis, providing a promising foundation for…
InteractiveAvatar: Real-Time Streaming Video Generation for Consistent and Intent-Aware Avatars
Quanyue Song, Yishan He, Yanfei Zhang +6
Recent diffusion-based models have enabled realistic audio-driven avatar generation in real-time streaming. However, existing approaches struggle to maintain visual temporal consis…
Unison: Harmonizing Motion, Speech, and Sound for Human-Centric Audio-Video Generation
Shihao Cheng, Jiaxu Zhang, Quanyue Song +6
Motion, speech, and sound effects are fundamental elements of human-centric videos, yet their heterogeneous temporal characteristics make joint generation highly challenging. Exist…
MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation
Yanbo Ding, Xirui Hu, Zhizhi Guo +6
Character image animation has rapidly advanced with the rise of digital humans. However, existing methods rely largely on 2D-rendered pose images for motion guidance, which limits…
X-MoGen: Unified Motion Generation across Humans and Animals
Xuan Wang, Kai Ruan, Liyang Qian +3
Text-driven motion generation has attracted increasing attention due to its broad applications in virtual reality, animation, and robotics. While existing methods typically model h…