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One Shot Audio to Animated Video Generation
We propose a novel method OneShotAu2AV to generate an animated video of arbitrary length using an audio clip and a single unseen image of a person as an input.
Few Shot Adaptive Normalization Driven Multi-Speaker Speech Synthesis
High quality multi-speaker speech synthesis while considering prosody and in a few shot manner is an area of active research with many real-world applications.
Multi Modal Adaptive Normalization for Audio to Video Generation
The multi-modal adaptive normalization uses the various features of audio and video such as Mel spectrogram, pitch, energy from audio signals and predicted keypoint heatmap/optical flow and a single image to learn the respective affine parameters to generate highly expressive video.
Robust One Shot Audio to Video Generation
High-quality video generation with expressive facial movements is a challenging problem that involves complex learning steps for generative adversarial networks.
