English(EN) SuperFace: Preference-Aligned Facial Expression Estimation Beyond Pseudo Supervision

SuperFace 利用人类偏好改进面部表情估计以用于动画制作

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-07 12:57

研究人员开发了 SuperFace，一个用于面部表情估计的新框架，它不再依赖不完美的软件生成标签。该系统使用人类偏好反馈来优化预测，旨在实现更具视觉真实感和表现力的数字动画。通过优先考虑感知判断而非伪标签，SuperFace 提高了 ARKit 混合形状系数预测的准确性。 AI

影响通过将面部表情模型与人类感知对齐，提高了数字人物动画的真实感。

排序理由这是一篇详细介绍面部表情估计新框架的研究论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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Newsworthiness bucket: Research; 这是一篇详细介绍面部表情估计新框架的研究论文。
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arXiv cs.CV TIER_1 English(EN) · Zejian Kang, Xuanyang Xu, Wentao Yang, Kai Zheng, Yuanchen Fei, Hongyuan Zou, Hui Shan, Shuo Yang, Xiangru Huang · 2026-05-08 04:00

SuperFace: 偏好对齐的面部表情估计超越伪监督

arXiv:2605.06179v1 Announce Type: new Abstract: Accurate facial estimation is crucial for realistic digital human animation, and ARKit blendshape coefficients offer an interpretable representation by mapping facial motions to semantic animation controls. However, learning high-qu…
arXiv cs.CV TIER_1 English(EN) · Xiangru Huang · 2026-05-07 12:57

SuperFace: 超越伪监督的偏好对齐面部表情估计

Accurate facial estimation is crucial for realistic digital human animation, and ARKit blendshape coefficients offer an interpretable representation by mapping facial motions to semantic animation controls. However, learning high-quality ARKit coefficient prediction remains limit…