4D portrait generation based on neural radiance field and facial expression similarity

Fumiya Kimura; Hidehiko Shishido; Itaru Kitahara

doi:10.1117/12.2666565

25 March 2023 4D portrait generation based on neural radiance field and facial expression similarity

Fumiya Kimura, Hidehiko Shishido, Itaru Kitahara

Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 125920F (2023) https://doi.org/10.1117/12.2666565
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of

Abstract

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.

Citation Download Citation

Fumiya Kimura, Hidehiko Shishido, and Itaru Kitahara "4D portrait generation based on neural radiance field and facial expression similarity", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 125920F (25 March 2023); https://doi.org/10.1117/12.2666565

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KEYWORDS

Video

Head

Cameras

Image quality

RGB color model

3D modeling

Deep learning

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