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English(EN) Forwardrobe: Garment-Aware Gaussian Avatars from a Single Image

新方法从单张图像创建逼真的3D头部化身

作者 PulseAugur 编辑部 · [4 个来源] ·

研究人员开发了从单张图像创建逼真且可动画化的3D头部化身的新方法。例如，SpiD采用双轴解耦方法来提高表现力和渲染保真度，同时实现快速推理速度。S-Avatar采用扩散引导模块和3D高斯溅射的动画策略，增强了虚拟和增强现实应用的3D一致性和真实感。URHead在UV空间中统一了网格和高斯表示，实现了高保真化身与精确几何控制和照片级真实细节的联合优化。 AI

影响 这些进步可以显著提高VR/AR和其他应用的数字化身的真实感和可访问性。

排序理由 多篇研究论文介绍了3D头部化身生成的新颖方法。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →

新方法从单张图像创建逼真的3D头部化身

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多篇研究论文介绍了3D头部化身生成的新颖方法。
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报道来源 [4]

  1. arXiv cs.CV TIER_1 English(EN) · Daisheng Jin, Shuyun Wang, Ying He ·

    Forwardrobe：单张图像生成的服装感知高斯虚拟人

    arXiv:2607.29106v1 Announce Type: new Abstract: Reconstructing animatable 3D human avatars from a single image remains particularly challenging for loose garments, whose geometry and motion cannot be adequately represented by body-aligned topology and skinning. We present Forward…

  2. arXiv cs.CV TIER_1 English(EN) · MD Wahiduzzaman Khan, Mingshan Jia, Xiaolin Zhang, En Yu, Kaska Musial-Gabrys ·

    分割与驱动：实时高斯头部化身的双轴解耦

    arXiv:2607.28032v1 Announce Type: new Abstract: Creating photorealistic animatable head avatars from a single image remains a fundamental challenge in digital human synthesis. While recent 3D Gaussian Splatting methods have achieved promising results, they rely on external tracki…

  3. arXiv cs.CV TIER_1 English(EN) · Hail Song, Seokhwan Yang, Jiwon Yang, Woojin Cho, Woontack Woo ·

    S-Avatar：单张图像的扩散引导高斯头部头像

    arXiv:2607.28164v1 Announce Type: new Abstract: We propose S-Avatar, a novel method for generating photorealistic 3D head avatars from a single image using a diffusion-guided 3D model generation module and strategies for animating 3D Gaussian Splatting (3DGS). While single-image …

  4. arXiv cs.CV TIER_1 English(EN) · Seonghak Lee, Junhee Cho, Jisoo Park, Min-Gyu Park, Jongmin Lee, Ju Hong Yoon, Junseok Kwon ·

    URHead：头部化身网格-3DGS联合优化的统一UV空间表示

    arXiv:2607.22673v1 Announce Type: cross Abstract: We present URHead, a unified representation for high-fidelity and animatable head avatars that fundamentally redefines mesh-Gaussian integration. While mesh-based methods offer precise geometric control but lack photorealistic det…

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