Search Results for author: Shuai Cui

Found 6 papers, 1 papers with code

Predicting Scores of Various Aesthetic Attribute Sets by Learning from Overall Score Labels

no code implementations6 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.

Attribute

An Order-Complexity Model for Aesthetic Quality Assessment of Symbolic Homophony Music Scores

no code implementations14 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.

Music Generation

Aesthetic Visual Question Answering of Photographs

no code implementations10 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.

Question Answering Sentiment Analysis +1

Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2

no code implementations9 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.

Attribute Image Captioning

Aesthetic Attribute Assessment of Images Numerically on Mixed Multi-attribute Datasets

3 code implementations5 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.

Attribute

Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment

no code implementations8 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.

Binary Classification Classification +1

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