Abstract
This project uses AI (artificial intelligence) rendering technology to realize how to present a photo in different forms of style. In a python environment, we establish a style transfer, inputting an original image for the software to recognize, then putting in a rendered style image for the software to perform the program. After 500 cycles are executed, the style will not have a stable form as the AI is evolving. By the time it reaches 1000 images, the algorithm has already remembered the common points of the images and grasped its own style, indicated by the gradual convergence of the loss function. The software will then produce different styles of rendered images.
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Lu, I., Cai, Y., Peng, B.a., Chen, ZX., Luo, TX., Wong, YH. (2023). Apply CNN Style Transformation on Industry 4.0. In: Coman, A., Vasilache, S. (eds) Social Computing and Social Media. HCII 2023. Lecture Notes in Computer Science, vol 14025. Springer, Cham. https://doi.org/10.1007/978-3-031-35915-6_28
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DOI: https://doi.org/10.1007/978-3-031-35915-6_28
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