https://scholars.lib.ntu.edu.tw/handle/123456789/559363
標題: | Guide your eyes: Learning image manipulation under saliency guidance | 作者: | Chen, Y.-C. Chang, K.-J. Tsai, Y.-H. YU-CHIANG WANG Chiu, W.-C. |
公開日期: | 2020 | 來源出版物: | 30th British Machine Vision Conference 2019, BMVC 2019 | 摘要: | In this paper, we tackle the problem of saliency-guided image manipulation for adjusting the saliency distribution over image regions. Conventional approaches ordinarily utilize explicit operations on altering the low-level features based on the selected saliency computation. However, it is difficult to generalize such methods for various saliency estimations. To address this issue, we propose a deep learning-based model that bridges between any differentiable saliency estimation methods and a neural network which applies image manipulation. Thus, the manipulation is directly optimized in order to satisfy saliency-guidance. Extensive experiments verify the capacity of our model in saliency-driven image editing and show favorable performance against numerous baselines. © 2019. The copyright of this document resides with its authors. |
URI: | https://www.scopus.com/inward/record.url?eid=2-s2.0-85087333350&partnerID=40&md5=e35fec86f2c216469486649b4cc59687 https://scholars.lib.ntu.edu.tw/handle/123456789/559363 |
SDG/關鍵字: | Computer vision; Conventional approach; Estimation methods; Guided images; Image editing; Image manipulation; Image regions; Learning Based Models; Low-level features; Deep learning |
顯示於: | 電機工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。