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English(EN) EmoteGPT: 3D Human Facial Expressions from Natural Language Descriptions

新框架EmoteGPT根据文本生成3D人脸表情

研究人员推出EmoteGPT,一个用于从自然语言描述生成3D人脸表情的新颖框架。该系统利用一个多模态大型语言模型,通过一个专门的token将文本输入转换为3D可变形模型(3D Morphable Model)的参数。该框架在一个名为Txt2Emote的新基准数据集上进行了训练,该数据集包含详细的表情文本注释,并进一步使用了图像到3DMM的数据进行增强。与现有的文本到3D人脸合成方法相比,EmoteGPT在表现力和情感识别方面表现出卓越的性能。 AI

影响 通过先进的文本到表情生成,能够实现更逼真、更可控的3D虚拟形象和虚拟交互。

排序理由 该集群包含一篇描述新模型和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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

新框架EmoteGPT根据文本生成3D人脸表情

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Tool
该集群包含一篇描述新模型和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics
paper, model release
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Story freshness
93 days old
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Haoran Wang, Mohit Mendiratta, Christian Theobalt, Adam Kortylewski ·

    EmoteGPT:从自然语言描述生成3D人物面部表情

    arXiv:2607.02674v1 Announce Type: new Abstract: Precise control of 3D facial expressions from text is crucial for virtual avatars, animation, and human-computer interaction, yet existing text-to-3D methods jointly generate identity, expression, and texture, making fine-grained ex…