English(EN) Mudragen: Geometrically Supervised Generation of Interacting Two-Hand Mudras for Preserving Indian Classical Dance Heritage

AI通过几何监督生成印度古典舞蹈手印

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-04 04:00

研究人员开发了MudraGen，一个新颖的条件扩散框架，旨在生成逼真的双手手势图像，即Samyukta Hasta Mudras，这对于保护印度古典舞蹈遗产至关重要。该系统通过整合几何感知监督，解决了低资源数据集和不精确的文本定义带来的挑战。MudraGen利用关键点损失、关节偏移损失和形状一致性目标，确保解剖学上的有效性、文化上的细微差别以及交互式双手之间的精确协调，在逼真度和准确性方面优于现有的生成模型。 AI

影响通过AI驱动的手势生成，为文化遗产保护和舞蹈教育提供了新方法。

排序理由详细介绍新AI模型和方法的学术论文。[lever_c_research降级：ic=1 ai=1.0]

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

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arXiv cs.CV TIER_1 English(EN) · Jagadish Kashinath Kamble, Jayanta Mukhopadhyay, Debaditya Roy, Partha Pratim Das · 2026-09-04 04:00

Mudragen：几何监督生成交互式双手手印以保护印度古典舞蹈遗产

arXiv:2609.03415v1 Announce Type: new Abstract: Automatic generation of hand gestures is essential for the transmission of Indian classical dance and critical for its preservation. Indian classical dance gesture datasets are inherently low-resource, and the canonical Sanskrit def…

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Mudragen：几何监督生成交互式双手手印以保护印度古典舞蹈遗产

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