2 citations · 4 across the 9 of their papers we have counts for
10 papers
Predicting Scores of Various Aesthetic Attribute Sets by Learning from Overall Score Labels
Heng Huang, Xin Jin, Yaqi Liu +5
Now many mobile phones embed deep-learning models for evaluation or guidance on photography. These models cannot provide detailed results like human pose scores or scene color scor…
An Order-Complexity Model for Aesthetic Quality Assessment of Homophony Music Performance
Xin Jin, Wu Zhou, Jinyu Wang +3
Although computational aesthetics evaluation has made certain achievements in many fields, its research of music performance remains to be explored. At present, subjective evaluati…
An Order-Complexity Model for Aesthetic Quality Assessment of Symbolic Homophony Music Scores
Xin Jin, Wu Zhou, Jinyu Wang +3
Computational aesthetics evaluation has made great achievements in the field of visual arts, but the research work on music still needs to be explored. Although the existing work o…
Aesthetic Visual Question Answering of Photographs
Xin Jin, Wu Zhou, Xinghui Zhou +4
Aesthetic assessment of images can be categorized into two main forms: numerical assessment and language assessment. Aesthetics caption of photographs is the only task of aesthetic…
Aesthetic Language Guidance Generation of Images Using Attribute Comparison
Xin Jin, Qiang Deng, Jianwen Lv +3
With the vigorous development of mobile photography technology, major mobile phone manufacturers are scrambling to improve the shooting ability of equipments and the photo beautifi…
Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2
Xinghui Zhou, Xin Jin, Jianwen Lv +3
Image aesthetic quality assessment is popular during the last decade. Besides numerical assessment, nature language assessment (aesthetic captioning) has been proposed to describe…
Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning
Xin Jin, Shu Zhao, Le Zhang +3
In recent years, image generation has made great strides in improving the quality of images, producing high-fidelity ones. Also, quite recently, there are architecture designs, whi…
Aesthetic Attribute Assessment of Images Numerically on Mixed Multi-attribute Datasets
Xin Jin, Xinning Li, Hao Lou +5
With the continuous development of social software and multimedia technology, images have become a kind of important carrier for spreading information and socializing. How to evalu…
Short Video Uprising: How #BlackLivesMatter Content on TikTok Challenges the Protest Paradigm
Yanru Jiang, Xin Jin, Qinhao Deng
This study uses TikTok (N = 8,173) to examine how short-form video platforms challenge the protest paradigm in the recent Black Lives Matter movement. A computer-mediated visual an…
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment
Xin Jin, Hao Lou, Huang Heng +4
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. To re…