no code implementations • 6 Dec 2023 • Heng Huang, Xin Jin, Yaqi Liu, Hao Lou, Chaoen Xiao, Shuai Cui, Xinning Li, Dongqing Zou
Then, we define an aesthetic attribute contribution to describe the role of aesthetic attributes throughout an image and use it with the attribute scores and the overall scores to train our F2S model.
no code implementations • 14 Jan 2023 • Xin Jin, Wu Zhou, Jinyu Wang, Duo Xu, Yiqing Rong, Shuai Cui
Computational aesthetics evaluation has made great achievements in the field of visual arts, but the research work on music still needs to be explored.
no code implementations • 10 Aug 2022 • Xin Jin, Wu Zhou, Xinghui Zhou, Shuai Cui, Le Zhang, Jianwen Lv, Shu Zhao
In this paper, we propose a new task of aesthetic language assessment: aesthetic visual question and answering (AVQA) of images.
no code implementations • 9 Aug 2022 • Xinghui Zhou, Xin Jin, Jianwen Lv, Heng Huang, Ming Mao, Shuai Cui
In this paper, we propose aesthetic attribute assessment, which is the aesthetic attributes captioning, i. e., to assess the aesthetic attributes such as composition, lighting usage and color arrangement.
3 code implementations • 5 Jul 2022 • Xin Jin, Xinning Li, Hao Lou, Chenyu Fan, Qiang Deng, Chaoen Xiao, Shuai Cui, Amit Kumar Singh
Besides, we propose a efficient method for image aesthetic attribute assessment on mixed multi-attribute dataset and construct a multitasking network architecture by using the EfficientNet-B0 as the backbone network.
no code implementations • 8 Jan 2022 • Xin Jin, Hao Lou, Huang Heng, XiaoDong Li, Shuai Cui, Xiaokun Zhang, Xiqiao Li
In the tasks of image aesthetic quality evaluation, it is difficult to reach both the high score area and low score area due to the normal distribution of aesthetic datasets.