FlowAct-R2: Beyond Talking Avatar via Streaming Multimodal References and Proactive Agent Planning
Paper recorded by Signals 4 on 2026-09-28 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-28 on arXiv · recorded by Signals 4 on 2026-09-29
Category: cs.CV · 计算机视觉 · first seen 2026-09-29
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 upda
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Cite this page: FlowAct-R2: Beyond Talking Avatar via Streaming Multimodal References and Proactive Agent Planning: the #4 most recent of 342 cs.CV papers we have recorded (as of 2026-09-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/flowact-r2-beyond-talking-avatar-via-streaming-multimodal-references-and-proacti.html
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