activity
20172023
most citedAesthetic Attribute Assessment of Images Numerically on Mixed Multi-attribute Datasets

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

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…

cs.CV2022

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…

cs.CV2022

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…

cs.CV2022★ 2 cited

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…

cs.CV2017★ 1 cited

Multi-level Chaotic Maps for 3D Textured Model Encryption

Xin Jin, Shuyun Zhu, Le Wu +4

With rapid progress of Virtual Reality and Augmented Reality technologies, 3D contents are the next widespread media in many applications. Thus, the protection of 3D models is prim…

cs.CV2017

Single Reference Image based Scene Relighting via Material Guided Filtering

Xin Jin, Yannan Li, Ningning Liu +4

Image relighting is to change the illumination of an image to a target illumination effect without known the original scene geometry, material information and illumination conditio…