Ex-Omni-2D: Expressive Omni-Modal Dialogue Models with Native Visual Presence

Omni-modal dialogue models can understand multimodal inputs and synthesize spoken replies, yet their responses remain visually disembodied. We introduce \textbf{Ex-Omni-2D}, an omni-modal dialogue framework that generates a coordinated response comprising text, personalized speech, and reference-conditioned video. Given a multimodal query, reference image, and reference audio, the model predicts a structured \textit{Visual Thought Plan} (VTP) describing scene, emotion, and motion, followed by re

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ethics.ai (11 August 2026), “Ex-Omni-2D: Expressive Omni-Modal Dialogue Models with Native Visual Presence,” evidence record 18416, https://ethics.ai/record/18416 (originally published by arXiv).

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