KEYWORDS: Video, Head, Cameras, Image quality, RGB color model, 3D modeling, Education and training, Deep learning, Image processing, 3D image processing
This paper introduces a method to generate 4D portrait of a person that can be played over a long period. 4D portrait is free-viewpoint video of a person with temporal changes in facial expression. In our proposed method, the parameters that represent person’s facial expressions and head poses are obtained from the video captured by a monocular RGB camera with a continuously moving viewpoint. A neural radiance field (NeRF) is trained from the captured video and estimated parameters. Using the radiance field, 4D portrait is generated based on the similarity of the person's facial expressions.
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