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English(EN) OrnaStyler: Ornament-Aware Latent Editing for Content-Preserving 3D Stylization

OrnaStyler框架实现内容保持的3D资产风格化

研究人员开发了OrnaStyler,一个新颖的文本引导3D资产风格化框架,它专注于在整合新的风格化细节的同时保持原始内容。该系统采用分阶段的方法,首先通过流反演在几何层面恢复内容感知的潜在表示,以合成增强装饰的结构。随后,它采用邻近感知特征修复机制,将新装饰与现有内容协调一致,确保几何-外观的连贯集成。实验表明,OrnaStyler在内容保持、风格保真度和视觉真实性方面优于先前的方法。 AI

影响 这个新框架可以通过允许对3D资产进行更精确且内容保持的风格化编辑,来增强数字内容创作中的创意工作流程。

排序理由 这是一篇详细介绍3D资产风格化新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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OrnaStyler框架实现内容保持的3D资产风格化

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这是一篇详细介绍3D资产风格化新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Tomohiro Aizawa, Shigeru Kuriyama, Chunzhi Gu ·

    OrnaStyler:面向内容保持的3D风格化中的装饰感知潜在编辑

    arXiv:2608.29905v1 Announce Type: new Abstract: Text-guided style editing of 3D assets is essential for adapting existing objects to diverse visual aesthetics in digital content creation. Despite rapid progress in 3D shape modeling, faithfully stylizing an existing asset remains …