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MEAD: A Large-scale Audio-visual Dataset for Emotional Talking Face Generation
王凯思源1; Song LS(宋林森)2,3; Wu QY(吴潜溢)2,3; Yang ZQ(杨卓谦)4; Wu WY(吴文岩)1; Qian C(钱晨)1; He R(赫然)2,3; Qiao Y(乔宇)5; Loy, Chen Change6
Conference NameEuropean Conference on Computer Vision
Conference Date2020-08-23
Conference PlaceGlasgow

The synthesis of natural emotional reactions is an essential criterion in vivid talking-face video generation. This criterion is neverthe- less seldom taken into consideration in previous works due to the absence of a large-scale, high-quality emotional audio-visual dataset. To address this issue, we build the Multi-view Emotional Audio-visual Dataset (MEAD), a talking-face video corpus featuring 60 actors and actresses talking with eight different emotions at three different intensity levels. High-quality audio-visual clips are captured at seven different view angles in a strictly-controlled environment. Together with the dataset, we release an emotional talking-face generation baseline that enables the manipulation of both emotion and its intensity. Our dataset could bene- fit a number of di↵erent research fields including conditional generation, cross-modal understanding and expression recognition. Code, model and data are publicly available on our project page.

Indexed ByEI
Sub direction classification图像视频处理与分析
planning direction of the national heavy laboratory视觉信息处理
Paper associated data
Document Type会议论文
Recommended Citation
GB/T 7714
王凯思源,Song LS,Wu QY,et al. MEAD: A Large-scale Audio-visual Dataset for Emotional Talking Face Generation[C],2020.
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[ECCV2020] MEAD.pdf(8588KB)会议论文 开放获取CC BY-NC-SAView Download
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