Proceedings of the International Display Workshops Volume 29 (IDW '22)
Dec 14 - Dec 16, 2022Fukuoka International Congress Center
Proceedings of the International Display Workshops Volume 29 (IDW '22)
Dec 14 - Dec 16, 2022Fukuoka International Congress Center
[MVS1-2]CNN-based Normal Map Generator for Creating Relightable Portrait Images
*Ching-Yi Kuo1, Chih Yang1, Tzung-Han Lin1(1.National Taiwan University of Science and Technology (Taiwan))
Keywords:
Portrait image relighting,U-net,photometric stereo,normal map
The paper proposes an AI model to generate accurate normal maps for portrait images. We utilized a portrait photo booth system based on photometric methods to generate training data. With these data, users only need to input a portrait image, then it can be converted into normal map image which is further used to relight the color portrait image.