https://scholars.lib.ntu.edu.tw/handle/123456789/581447
標題: | Variational-autoencoder-based environment for interactive sketch tutoring aiming for kids | 作者: | Wu S.-J Lin P.-S Huang P.-C SHOU-DE LIN |
關鍵字: | Artificial intelligence; Interactive; Neural network; Sketch | 公開日期: | 2020 | 起(迄)頁: | 12-17 | 來源出版物: | ACM International Conference Proceeding Series | 摘要: | Sketching is a type of artistic skills that most people can acquire during their childhood. In this paper, we present a web-based GUI environment which interactively teaches users how to sketch. Based on neural-network variational autoencoder (VAE), the environment uses generated strokes to guide users, however, the drawing quality cannot naively meet standards required for tutoring purposes. We conducted qualitative analysis, investigated the influence of latent variable on the drawing quality, and choose transformer as decoder. The proposed technique enhances the interactive drawing quality, and has the potential to build a sketch-tutoring software for young children. ? 2020 ACM. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104626309&doi=10.1145%2f3447490.3447493&partnerID=40&md5=db83173c2b78ea72e98c680217088122 https://scholars.lib.ntu.edu.tw/handle/123456789/581447 |
DOI: | 10.1145/3447490.3447493 | SDG/關鍵字: | Learning systems; Auto encoders; Interactive sketch; Latent variable; Qualitative analysis; Web based; Young children; Artificial intelligence |
顯示於: | 資訊工程學系 |
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