图像美学评估

发布时间:2016-11-28 打印[ ]

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图1 图像美学评估是计算摄影体系中图像质量评估的关键一环  

     

       图像的视觉美学质量衡量了在人类眼中一幅图像的视觉吸引力。由于视觉美学是一个主观的属性,往往会涉及情感和个人品味,这使得自动评估图像美学质量是一项非常主观的任务。然而,人们往往会达成一种共识,即一些图像在视觉上比其他图像更有吸引力。图像美学评估(Image Aesthetics Assessment, IAA)探索如何用可计算技术来预测人类对视觉刺激产生的情绪反应,使计算机模仿人类的审美过程,从而用可计算方法来自动预测图像的美学质量。


实验室的图像美学评估(Image Aesthetics Assessment, IAA)的研究内容包括:

1、总体IAA;

2、基于非完美数据的IAA;

3、多美学因素、多模态的IAA;

4、可解释性的IAA;

5、知识、数据、模型、价值四轮驱动的IAA;

6、面向AIGC的IAA;

7、面向人像摄影的IAA;

8、面向生活场景的IAA/AA。


实验室部分研究成果:图像美学评估开源代码&数据集


vRobotit实验室关于“图像美学评估”代表性论文:

  • [1] Limin Liu, Shuai He, Anlong Ming*, Rui Xie, Huadong MaELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models, in Proceedings of the 41th international Conference on Machine Learning (ICML), 2024. 

    开源项目地址https://github.com/mRobotit/Long-Tail-image-aesthetics-and-quality-assessment/tree/main

  • [2] Shai He, Anlong Ming*, Shuntian Zheng, Haobin Zhong, Huadong Ma, EAT: An Enhancer for Aesthetics-Oriented Transformersin Proceedings of the 31th ACM International Conference on Multimedia (MM), 2023.
    开源项目地址 https://github.com/mRobotit/Image-Aesthetics-Assessment/tree/main

  • [3] Shai He, Anlong Ming*, Yaqi Li, Jinyuan Sun, ShunTian Zheng, Huadong Ma, Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks, in Proceedings of International Conference on Computer Vision (ICCV), 2023.
    开源项目地址: https://github.com/mRobotit/Image-Color-Aesthetics-Assessment

  • [4] Shuai He, Yongchang Zhang, Dongxiang Jiang, Rui Xie, Anlong Ming*, Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks,the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI), 2022. 
    开源项目地址:https://github.com/mRobotit/TANet

  • [5] Shuai He, Yi Xiao, Anlong Ming*, Huadong Ma, Prompt-Guided Image Color Aesthetics Assessment: Models, Datasets and Benchmarks,submitted to Information Fusion (In Revision), 2024. 
    开源项目地址:准备中