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RenderMe-360

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OpenDataLab2023-06-14 更新2024-05-09 收录
下载链接:
https://opendatalab.org.cn/OpenXDLab/RenderMe-360
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资源简介:
RenFace是一个大规模多视角人脸高清视频数据集,包含多样的人脸表情、丰富的细粒度发型发色,同时也包含音素均衡的说话视频。可应用于:2D/3D数字人脸生成、人脸重建捕捉等领域。 亮点: - 大规模数据(ID>500,视频帧>80M) - 多样的表情(自然表情+11种夸张表情) - 多样的发型发色 (自然发型/发色+各类假发+头套) - 音素均衡的话术 - 多样的视角(60个) - 高清的图像(2k) - 丰富的标注 (前背景分割、相机参数、2D/3D人脸关键点、FLAME模型拟合系数、人头稠密重建、外观与显著特征、文本动作描述、AU)

RenFace is a large-scale multi-view high-definition facial video dataset that encompasses diverse facial expressions, rich fine-grained hairstyles and hair colors, as well as phonetically balanced speaking videos. It can be applied to fields such as 2D/3D digital face generation, face reconstruction and capture, etc. Highlights: - Large-scale data: over 500 unique identities and more than 80 million video frames - Diverse expressions: including natural expressions plus 11 types of exaggerated expressions - Diverse hairstyles and hair colors: covering natural hairstyles/hair colors, various wigs and head covers - Phonetically balanced speech scripts - Diverse viewpoints: 60 distinct viewing angles - High-definition resolution: 2K - Rich annotations: including foreground-background segmentation, camera parameters, 2D/3D facial landmarks, FLAME model fitting coefficients, dense head reconstruction, appearance and salient features, text-based action descriptions, and Action Units (AU)
提供机构:
OpenDataLab
创建时间:
2023-06-14
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