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Towards Accurate Lip-to-Speech Synthesis in-the-Wild
In this paper, we introduce a novel approach to address the task of synthesizing speech from silent videos of any in-the-wild speaker solely based on lip movements.
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation
In this paper, we address the problem of segmentation and labelling of the 3D point clouds by proposing a inception based deep network architecture called PIG-Net, that effectively characterizes the local and global geometric details of the point clouds.
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