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English(EN) HairCS: Reconstructing Strand-Based Hair from Hair Cards

新流程将发束卡片转换为详细的基于发束的发型

研究人员开发了HairCS,一个旨在将发束卡片模型转换为详细的、基于发束的发型的自动化流程。该方法以纹理条带为输入,生成符合生产标准的基于发束的表示,包括头皮起源、均匀的根部分布和合理的体积填充。输出兼容标准的渲染、模拟和造型工具,能够增强真实感和艺术控制力。该方法已在各种发型上得到验证,从短发和卷发到复杂的发髻和马尾辫等发型。 AI

影响 增强游戏和电影中数字头发创作的真实感和艺术控制力。

排序理由 该项目描述了一种在arXiv学术论文中提出的新方法。[lever_c_demoted from research: ic=1 ai=0.4]

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 →

新流程将发束卡片转换为详细的基于发束的发型

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该项目描述了一种在arXiv学术论文中提出的新方法。[lever_c_demoted from research: ic=1 ai=0.4]
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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) · Zixuan Lu (University of Utah), Tongtong Wang (LIGHTSPEED), Yuefan Shen (LIGHTSPEED), Zhongtian Zheng (LIGHTSPEED), Chenfanfu Jiang (UCLA), Yin Yang (University of Utah), Kui Wu (LIGHTSPEED) ·

    HairCS:从发束卡重建基于发束的毛发

    arXiv:2609.16465v1 Announce Type: cross Abstract: We present an automated pipeline that converts hair-card models into high-quality strand-based hairstyles. Given a collection of textured triangular or quad strips as input, our method produces a strand-based representation that p…