Disney Research is known for their robots, deepfakes, and now, an AI tool for production ready aging visual effects. In typical productions, digital re-aging of faces in video involves a complex 2D painting workflow that often requires a skilled artist to perform frame-by-frame manual work that can take days to accomplish. This tool changes that by first by tackling the problem of collecting longitudinal training data for learning to re-age faces over extended periods of time.
The research team demonstrates how such a longitudinal dataset can be made by leveraging current state-of-the-art in facial re-aging technology. Another problem this tool addresses is leveraging this synthetic data and formulating facial re-aging as a practical image-to-image translation task that can be performed by training a versed U-Net architecture, without requiring more complex network designs.
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Finally, our new face re-aging network (FRAN) incorporates simple and intuitive mechanisms that provides artists with localized control and creative freedom to direct and fine-tune the re-aging effect, a feature that is largely important in real production pipelines and often overlooked in related research work,” said the researchers.