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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:用于全视觉理解的扩散大语言模型

研究人员开发了 Intern Lumina U2,这是一种新颖的扩散大语言模型,专为全视觉理解和图像生成而设计。该模型在完全离散的空间中独特地表示多码本视觉标记,在保持与文本建模兼容性的同时增强了表示能力。Intern Lumina U2 在单个骨干网络中支持图像、视频和 3D 输入,在视觉理解和生成任务中展现出领先的性能。该系统已在 Huawei Ascend 和 NVIDIA 平台上得到验证,其优化的采样策略可将图像生成速度提高 4.45 倍。 AI

影响 该模型通过在离散空间中有效地将高容量视觉表示与文本集成,推动了统一多模态生成的发展。

排序理由 该条目描述了一个新模型及其在论文中展示的技术能力。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Intern Lumina U2:用于全视觉理解的扩散大语言模型

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该条目描述了一个新模型及其在论文中展示的技术能力。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    Intern Lumina U2:面向全视觉理解和图像生成的多码本扩散大语言模型

    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 and hybrid approaches retain richer visual represe…