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Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces

Paper recorded by Signals 4 on 2026-09-30 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-30 on arXiv · recorded by Signals 4 on 2026-10-01

Category: cs.CV · 计算机视觉 · first seen 2026-10-01

Abstract

We present Multimodal Flow, a fully continuous generative model of language and vision. Most unified multimodal models either model both language and quantized images as discrete tokens or combine discrete language prediction with continuous image generation. The former introduces a visual quantization bottleneck. The latter requires modality-dependent objectives and sampling procedures. Fully con

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#1 most recent of 368 cs.CV papers we have recorded · ↓ older: Physis-Lang: Self-Evolving Language as a Physical Representation for V
Cite this page: Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces: the #1 most recent of 368 cs.CV papers we have recorded (as of 2026-09-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/multimodal-flow-unified-flow-modeling-of-language-and-vision-in-embedding-spaces.html
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