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English(EN) Intern Lumina U2: A Multi-Codebook Diffusion Large Language Model for Omni-Visual Understanding and Image Generation

Intern Lumina U2：具有多码本令牌的统一全视觉大型语言模型

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了 Intern Lumina U2，这是一种新颖的扩散大型语言模型，专为图像、视频和 3D 资产的全面全视觉理解和生成而设计。该模型在完全离散的空间中独特地采用了多码本视觉令牌，在保持与文本建模兼容性的同时增强了表示能力。该系统在视觉理解、图像生成和编辑任务中表现出领先的性能，并已在 Ascend 和 NVIDIA 硬件上验证了其跨平台有效性。 AI

影响 该模型统一处理图像、视频和 3D 的方法可以简化多模态人工智能的开发和应用。

排序理由 该集群描述了一篇介绍新型人工智能模型的研究论文。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Intern Lumina U2：具有多码本令牌的统一全视觉大型语言模型

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报道来源 [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Intern Lumina U2：用于全视觉理解和图像生成的、多码本扩散大语言模型

    Intern Lumina U2 is a diffusion language model that uses multi-codebook discrete visual tokens to unify image, video, and 3D generation with text in a single backbone, achieving high performance and faster inference.

  2. arXiv cs.CV TIER_1 English(EN) · Qian Yu, Zongyang Qiu, Juncheng Yan, Hongliang Li, Qi Qin, Keqi Wang, Siqi Luo, Junkui Ju, Yapeng Mi, Tiantian Lu, Tian Liu, Pengyu Xie, Chenhao Ji, Minghui Zhang, Yiang Zhao, Siyu Yan, Haiying Xu, Yanbo Wang, Jianghan Shen, Yuandong Pu, Jiayi Lei, Borui… ·

    Intern Lumina U2：用于全视觉理解和图像生成的、多码本扩散大型语言模型

    arXiv:2610.20818v1 Announce Type: new Abstract: Unified multimodal generation covers discrete, continuous, and hybrid paradigms. Discrete approaches with single-codebook visual tokenizers align naturally with text modeling but have limited representational capacity. Continuous an…

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