FlowAct-R2: Beyond Talking Avatar via Streaming Multimodal References and Proactive Agent Planning
cs.CV
Submitted: 2026-09-28
Updated: 2026-09-28
Comments: Project page: https://bone-11.github.io/Flowact-R2; Hugging Face Space: https://huggingface.co/spaces/ProAudience/FlowAct-R2
Project page: https://bone-11.github.io/Flowact-R2
License: http://creativecommons.org/licenses/by-nc-sa/4.0/
The gist: We present FlowAct-R2, a framework for interactive humanoid video generation that combines continuous multimodal control with proactive agent planning.
Terminology
Abstract
We present FlowAct-R2, a framework for interactive humanoid video generation that combines continuous multimodal control with proactive agent planning. Our method consists of two coupled components. First, a Streaming Multimodal Reference Diffusion Transformer adapts the pretrained Seedance 2.0 Mini reference-to-video backbone to accept rolling action prompts, streaming audio, and dynamically updated image, audio, and video references. Video-driven rotary positional embeddings align reference chunks with the generation timeline, while reference-plus-image conditioning and partially noised historical motion frames preserve appearance and avoid accumulated drift. Second, a Proactive Interaction Agent separates pre-online planning from online scheduling and response: it prepares a persona, a long-horizon agenda, and reusable multimodal skills in advance, then autonomously schedules behaviors, responds to audience input, and handles interruptions during a live session. FlowAct-R2 supports real-time 720p generation and hour-scale streaming across entertainment streaming, live shopping, video chatting, and live vlogging.
Sources
- Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models
- DuplexOmni: Real-Time Listening, Seeing, Thinking, and Speaking for Full-Duplex Interaction
- Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length
- StreamHOI: Interaction-aware Temporal Memory Adaptation for Streaming HOI Video Generation
- FlowAct-R1: Towards Interactive Humanoid Video Generation
- X-Streamer: Unified Human World Modeling with Audiovisual Interaction
- Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation
- Vidu S1: A Real-Time Interactive Video Generation Model
- LiveAnimate: Stable Long-Form Streaming Human Animation in Real-Time
- INFP: Audio-Driven Interactive Head Generation in Dyadic Conversations
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