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English(EN) Scanline-Aware Animatable Gaussian Avatars from Rolling-Shutter Videos

新方法从滚动快门视频中重建3D头像

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了RS-Avatar，一种从滚动快门视频重建可动画3D高斯头像的新方法。与假设像素瞬时捕获的传统方法不同，RS-Avatar考虑了滚动快门传感器逐行曝光的顺序性，这会导致运动失真。通过修改渲染算子逐行合成子帧渲染，该系统可以生成更清晰、无失真的头像。这种方法在新的RS-ZJU基准测试中显著提高了新视角合成效果，优于忽略滚动快门效应的方法。 AI

影响 这项研究可以提高从消费级相机生成的数字头像的质量，从而影响虚拟现实和元宇宙应用。

排序理由 该集群包含一篇详细介绍3D头像重建新方法的论文。[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 →

新方法从滚动快门视频中重建3D头像

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该集群包含一篇详细介绍3D头像重建新方法的论文。[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) · Youxiang Wang ·

    来自滚动快门视频的扫描线感知可动画高斯头像

    arXiv:2608.17314v1 Announce Type: new Abstract: Animatable human avatars are routinely reconstructed from multi-view video under a silent assumption: that every pixel of a frame observes the same instant of the body's motion. Rolling-shutter (RS) sensors expose image rows sequent…

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