Awesome Machine Learning for Image Aesthetic Assessment Resources

We would like to maintain a list of resources that utilize machine learning technologies to solve image aesthetic assessment.

Maintained by members from UIBE: Lian Liu, Xiangyi Zhang, Yanghao Xing, Yufei Deng, Yifan Yang and Guolong Wang. We also thank all the advisers!

Thank you for the support of Thinklab.

Content

1. Survey
2. Problems
2.1 General Image Aesthetic Assessment	2.2 Personalized Image Aesthetic Assessment
2.3 Aesthetic Critique	2.4 Dataset
2.5 Aesthetic Assessment in Downstream Tasks

Survey Papers

1. Image Aesthetic Assessment: An Experimental Survey. IEEE Signal Processing Magazine, 2017. journal

   Deng, Yubin and Loy, Chen Change and Tang, Xiaoou.

2. Image Aesthetic Quality Assessment: A survey. (in chinese) 科技导报, 2018. journal

   Jin, Xin and Zhou, Bin and Zou, Dongqing, Li, Xiaodong, Sun, Hongbo and Wu, Le

3. A Comprehensive Survey on Image Aesthetic Quality Assessment. IEEE/ACIS 18th International Conference on Computer and Information Science, 2019. paper

   Yang, Hongtao and Shi, Ping and He, Saike and Pan, Da and Ying, Zefeng and Lei, Ling.

4. Survey of Application of Deep Convolution Neural Network in Image Aesthetic Evaluation. (in chinese) 计算机工程与应用, 2019. journal

   Wen, Kunzhe and Wei, Yuke and Dong, Xiaohua.

5. Perceptual Image Quality Assessment: A Survey. Science China Information Sciences., 2020. paper

   Zhai, Guangtao and Min, Xiongkuo.

6. Computational Aesthetics:Visual Aesthetics Measurement and Generation Driven by Computational Science. (in chinese) 包装工程, 2021. journal

   Guo, Bin and Zhang, Qiu-yun and Fang, Yu-yang and Ding, Ya-san and Zhang ying and Yu, Zhi-wen

7. A Survey on Image Aesthetic Assessment. arXiv, 2021. journal

   Anwar, Abbas and Kanwal, Saira and Tahir, Muhammad and Saqib, Muhammad and Uzair, Muhammad and Rahmani, Mohammad Khalid Imam and Ullah, Habib

Problems

General Image Aesthetic Assessment

1. Computational Media Aesthetics: Finding Meaning Beautiful. IEEE multimedia, 2001. journal

   Nack, Frank and Dorai, Chitra and Venkatesh, Svetha

2. Defining Computational Aesthetics. Computational aesthetics in graphics, visualization and imaging, 2005. journal

   Neumann, L and Sbert, M and Gooch, B and Purgathofer, W and others

3. Algorithmic Inferencing of Aesthetics and Emotion in Natural Images: An Exposition. ICIP, 2008. paper

   Datta, Ritendra and Li, Jia and Wang, James Z.

4. Saliency-Enhanced Image Aesthetics Class Prediction. ICIP, 2009. paper

   Wong, Lai-Kuan and Low, Kok-Lim

5. The Good, the Bad, and the Ugly: Predicting Aesthetic Image Labels. ICPR, 2010. paper

   Wu, Yaowen and Bauckhage, Christian and Thurau, Christian

6. A Framework for Photo-Quality Assessment and Enhancement Based on Visual Aesthetics. ACM Multimedia, 2010. paper

   Bhattacharya, Subhabrata and Sukthankar, Rahul and Shah, Mubarak

7. Affective Image Classification Using Features Inspired By Psychology and Art Theory. ACM Multimedia, 2010. paper, code

   Machajdik, Jana and Hanbury, Allan

8. Aesthetics and Emotions in Images. IEEE Signal Processing Magazine, 2011. journal

   Joshi, Dhiraj and Datta, Ritendra and Fedorovskaya, Elena and Luong, Quang-Tuan and Wang, James Z and Li, Jia and Luo, Jiebo

9. Aesthetic Quality Classification of Photographs Based on Color Harmony. CVPR, 2011. paper

   Nishiyama, Masashi and Okabe, Takahiro and Sato, Imari and Sato, Yoichi

10. A Holistic Approach to Aesthetic Enhancement of Photographs. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2011. journal

    Bhattacharya, Subhabrata and Sukthankar, Rahul and Shah, Mubarak

11. High Level Describable Attributes for Predicting Aesthetics and Interestingness. CVPR, 2011. paper

    Dhar, Sagnik and Ordonez, Vicente and Berg, Tamara L

12. Scenic Photo Quality Assessment with Bag of Aesthetics-Preserving Features. ACM Multimedia, 2011. paper

    Su, Hsiao-Hang and Chen, Tse-Wei and Kao, Chieh-Chi and Hsu, Winston H. and Chien, Shao-Yi

13. Assessing the Aesthetic Quality of Photographs Using Generic Image Descriptors. ICCV, 2011. paper

    Marchesotti, Luca and Perronnin, Florent and Larlus, Diane and Csurka, Gabriela

14. Assessment of Photo Aesthetics with Efficiency. ICPR, 2012. paper

    Lo, Kuo-Yen and Liu, Keng-Hao and Chen, Chu-Song

15. AVA: A Large-Scale Database for Aesthetic Visual Analysis. CVPR, 2012. paper, code

    Murray, Naila and Marchesotti, Luca and Perronnin, Florent

16. Automated Aesthetic Analysis of Photographic Images. IEEE Transactions on Visualization and Computer Graphics, 2014. journal, code

    Aydın, Tunç Ozan and Smolic, Aljoscha and Gross, Markus

17. Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation. IEEE Transactions on Image Processing, 2014. journal

    Zhang, Luming and Gao, Yue and Zimmermann, Roger and Tian, Qi and Li, Xuelong

18. Rapid: Rating Pictorial Aesthetics Using Deep Learning. ACM Multimedia, 2014. paper, code

    Lu, Xin and Lin, Zhe and Jin, Hailin and Yang, Jianchao and Wang, James Z.

19. Deep Multi-Patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation. ICCV, 2015. paper

    Lu, Xin and Lin, Zhe and Shen, Xiaohui and Mech, Radomir and Wang, James Z.

20. Query-Dependent Aesthetic Model with Deep Learning for Photo Quality Assessment. IEEE Transactions on Multimedia, 2015. journal

    Tian, Xinmei and Dong, Zhe and Yang, Kuiyuan and Mei, Tao

21. Rating Image Aesthetics Using Deep Learning. IEEE Transactions on Multimedia, 2015. journal, code

    Lu, Xin and Lin, Zhe and Jin, Hailin and Yang, Jianchao and Wang, James Z.

22. Brain-Inspired Deep Networks for Image Aesthetics Assessment. arXiv, 2016. journal, code

    Wang, Zhangyang and Chang, Shiyu and Dolcos, Florin and Beck, Diane and Liu, Ding and Huang, Thomas S.

23. A Multi-Scene Deep Learning Model for Image Aesthetic Evaluation. Signal Processing: Image Communication, 2016. journal

    Wang, Weining and Zhao, Mingquan and Wang, Li and Huang, Jiexiong and Cai, Chengjia and Xu, Xiangmin

24. Hierarchical Aesthetic Quality Assessment Using Deep Convolutional Neural Networks. Signal Processing: Image Communication, 2016. journal

    Kao, Yueying and Huang, Kaiqi and Maybank, Steve

25. Visual Aesthetic Quality Assessment with Multi-Task Deep Learning. arXiv, 2016. journal

    Kao, Yueying and He, Ran and Huang, Kaiqi

26. Photo Aesthetics Ranking Network with Attributes and Content Adaptation. ECCV, 2016. paper, code

    Kong, Shu and Shen, Xiaohui and Lin, Zhe and Mech, Radomir and Fowlkes, Charless

27. Composition-Preserving Deep Photo Aesthetics Assessment. CVPR, 2016. paper

    Mai, Long and Jin, Hailin and Liu, Feng

28. Joint Image and Text Representation for Aesthetics Analysis. ACM Multimedia, 2016. paper

    Zhou, Ye and Lu, Xin and Zhang, Junping and Wang, James Z.

29. Aesthetic Critiques Generation for Photos. ICCV, 2017. paper, code

    Chang, Kuang-Yu and Lu, Kung-Hung and Chen, Chu-Song

30. Deep Aesthetic Quality Assessment with Semantic Information. IEEE Transactions on Image Processing, 2017. journal

    Kao, Yueying and He, Ran and Huang, Kaiqi

31. Photo Aesthetics Analysis via DCNN Feature Encoding. IEEE Transactions on Multimedia, 2017. journal

    Lee, Hui-Jin and Hong, Ki-Sang and Kang, Henry and Lee, Seungyong

32. Engineering Deep Representations for Modeling Aesthetic Perception. IEEE Transactions on Cybernetics, 2017. journal

    Chen, Yanxiang and Hu, Yuxing and Zhang, Luming and Li, Ping and Zhang, Chao

33. A Flexible Fuzzy Regression Method for Addressing Nonlinear Uncertainty on Aesthetic Quality Assessments. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017. journal

    Chan, Kit Yan and Lam, Hak-Keung and Yiu, Cedric Ka Fai and Dillon, Tharam S.

34. POI Summarization By Aesthetics Evaluation from Crowd Source Social Media. IEEE Transactions on Image Processing, 2017. journal

    Qian, Xueming and Li, Cheng and Lan, Ke and Hou, Xingsong and Li, Zhetao and Han, Junwei

35. A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment. CVPR, 2017. paper, code

    Ma, Shuang and Liu, Jing and Wen Chen, Chang

36. Deep Cropping via Attention Box Prediction and Aesthetics Assessment. ICCV, 2017. paper

    Wang, Wenguan and Shen, Jianbing

37. Using CNN Features to Better Understand What Makes Visual Artworks Special. Frontiers in psychology, 2017. journal

    Brachmann, Anselm and Barth, Erhardt and Redies, Christoph

38. Computational and Experimental Approaches to Visual Aesthetics. Frontiers in computational neuroscience, 2017. journal

    Brachmann, Anselm and Redies, Christoph

39. Putting the Art in Artificial: Aesthetic Responses to Computer-Generated Art. Psychology of Aesthetics, Creativity, and the Arts, 2018. journal

    Chamberlain, Rebecca and Mullin, Caitlin and Scheerlinck, Bram and Wagemans, Johan

40. Usar: An Interactive User-Specific Aesthetic Ranking Framework for Images. ACM Multimedia, 2018. paper

    Lv, Pei and Wang, Meng and Xu, Yongbo and Peng, Ze and Sun, Junyi and Su, Shimei and Zhou, Bing and Xu, Mingliang

41. Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence. AAAI, 2018. paper, code

    Jin, Xin and Wu, Le and Li, Xiaodong and Chen, Siyu and Peng, Siwei and Chi, Jingying and Ge, Shiming and Song, Chenggen and Zhao, Geng

42. Objectivity and Subjectivity in Aesthetic Quality Assessment of Digital Photographs. IEEE Transactions on Affective Computing, 2018. journal

    Kim, Won-Hee and Choi, Jun-Ho and Lee, Jong-Seok

43. Deep Active Learning with Contaminated Tags for Image Aesthetics Assessment. IEEE Transactions on Image Processing, 2018. journal

    Liu, Zhenguang and Wang, Zepeng and Yao, Yiyang and Zhang, Luming and Shao, Ling

44. Bio-Inspired Deep Attribute Learning towards Facial Aesthetic Prediction. IEEE Transactions on Affective Computing, 2018. journal

    Xu, Mingliang and Chen, Fuhai and Li, Lu and Shen, Chen and Lv, Pei and Zhou, Bing and Ji, Rongrong

45. Leveraging Expert Feature Knowledge for Predicting Image Aesthetics. IEEE Transactions on Image Processing, 2018. journal

    Kucer, Michal and Loui, Alexander C. and Messinger, David W.

46. Distribution-Oriented Aesthetics Assessment with Semantic-Aware Hybrid Network. IEEE transactions on multimedia, 2018. journal

    Cui, Chaoran and Liu, Huihui and Lian, Tao and Nie, Liqiang and Zhu, Lei and Yin, Yilong

47. Image Aesthetics Assessment Using Composite Features from Off-the-Shelf Deep Models. ICIP, 2018. paper

    Fu, Xin and Yan, Jia and Fan, Cien

48. NIMA: Neural Image Assessment. IEEE Transactions on Image Processing, 2018. journal, code

    Talebi, Hossein and Milanfar, Peyman

49. Will People Like Your Image? Learning the Aesthetic Space. WACV, 2018. paper, code

    Schwarz, Katharina and Wieschollek, Patrick and Lensch, Hendrik PA

50. Learning to Detect Multiple Photographic Defects. WACV, 2018. paper, code

    Yu, Ning and Shen, Xiaohui and Lin, Zhe and Mech, Radomir and Barnes, Connelly

51. PAC-Net: Pairwise Aesthetic Comparison Network for Image Aesthetic Assessment. ICIP, 2018. paper

    Ko, Keunsoo and Lee, Jun-Tae and Kim, Chang-Su

52. Instagram Likes for Architectural Photos Can Be Predicted By Quantitative Balance Measures and Curvature. Frontiers in Psychology, 2018. journal

    Thömmes, Katja and Hübner, Ronald

53. Photographic Composition Classification and Dominant Geometric Element Detection for Outdoor Scenes. Journal of Visual Communication and Image Representation, 2018. journal, code

    Lee, Jun-Tae and Kim, Han-Ul and Lee, Chul and Kim, Chang-Su

54. Image Aesthetic Assessment based on Pairwise Comparison - A Unified Approach to Score Regression, Binary Classification, and Personalization. ICCV, 2019. paper

    Lee, Jun-Tae and Kim, Chang-Su

55. Personality Driven Multi-Task Learning for Image Aesthetic Assessment. ICME, 2019. paper

    Li, Leida and Zhu, Hancheng and Zhao, Sicheng and Ding, Guiguang and Jiang, Hongyan and Tan, Allen

56. Aesthetic Attributes Assessment of Images. ACM Multimedia, 2019. paper, code

    Jin, Xin and Wu, Le and Zhao, Geng and Li, Xiaodong and Zhang, Xiaokun and Ge, Shiming and Zou, Dongqing and Zhou, Bin and Zhou, Xinghui

57. Towards Unified Aesthetics and Emotion Prediction in Images. ICIP, 2019. paper, code

    Yu, Jun and Cui, Chaoran and Geng, LeiLei and Ma, Yuling and Yin, Yilong

58. Aesthetic Image Captioning from Weakly-Labelled Photographs. ICCV Workshops, 2019. paper, code

    Ghosal, Koustav and Rana, Aakanksha and Smolic, Aljosa

59. A Unified Probabilistic Formulation of Image Aesthetic Assessment. IEEE Transactions on Image Processing, 2019. journal, code

    Zeng, Hui and Cao, Zisheng and Zhang, Lei and Bovik, Alan C

60. A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction. IEEE Transactions on Multimedia, 2019. journal

    Zhang, Xiaodan and Gao, Xinbo and Lu, Wen and He, Lihuo

61. Deep Multimodality Learning for Uav Video Aesthetic Quality Assessment. IEEE Transactions on Multimedia, 2019. journal

    Kuang, Qi and Jin, Xin and Zhao, Qinping and Zhou, Bin

62. Color Theme–based Aesthetic Enhancement Algorithm to Emulate the Human Perception of Beauty in Photos. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2019. journal

    Panetta, Karen and Bao, Long and Agaian, Sos and Oludare, Victor

63. Beauty Is in the Eye of the Beholder: Demographically Oriented Analysis of Aesthetics in Photographs. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2019. journal

    Kairanbay, Magzhan and See, John and Wong, Lai-Kuan

64. Aesthetics-Guided Graph Clustering with Absent Modalities Imputation. IEEE Transactions on Image Processing, 2019. journal

    Zhang, Luming and Yao, Yiyang and Lu, Zhenguang and Shao, Ling

65. Image Aesthetic Assessment Assisted By Attributes Through Adversarial Learning. AAAI, 2019. paper

    Pan, Bowen and Wang, Shangfei and Jiang, Qisheng

66. Aspect-Ratio-Preserving Multi-Patch Image Aesthetics Score Prediction. CVPR Workshops, 2019. paper

    Wang, Lijie and Wang, Xueting and Yamasaki, Toshihiko and Aizawa, Kiyoharu

67. Modeling Image Composition for Visual Aesthetic Assessment. CVPR Workshops, 2019. paper

    Liu, Dong and Puri, Rohit and Kamath, Nagendra and Bhattacharya, Subhabrata

68. Effective Aesthetics Prediction with Multi-Level Spatially Pooled Features. CVPR, 2019. paper, code

    Hosu, Vlad and Goldlucke, Bastian and Saupe, Dietmar

69. An Universal Image Attractiveness Ranking Framework. WACV, 2019. paper

    Ma, Ning and Volkov, Alexey and Livshits, Aleksandr and Pietrusinski, Pawel and Hu, Houdong and Bolin, Mark

70. Modeling Human Perception for Image Aesthetic Assessme. ICIP, 2019. paper

    Wang, Weining and Deng, Rui

71. Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment. IEEE Transactions on Image Processing, 2020. journal

    Li, Leida and Zhu, Hancheng and Zhao, Sicheng and Ding, Guiguang, and Lin, Weisi

72. Beyond Vision: A Multimodal Recurrent Attention Convolutional Neural Network for Unified Image Aesthetic Prediction Tasks. IEEE Transactions on Multimedia, 2020. journal

    Zhang, Xiaodan and Gao, Xinbo and Lu, Wen and He, Lihuo and Li, Jie

73. Social-Sensed Image Aesthetics Assessment. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2020. journal

    Cui, Chaoran and Lin, Peiguang and Nie, Xiushan and Jian, Muwei and Yin, Yilong

74. Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning. AAAI, 2020. paper

    Sheng, Kekai and Dong, Weiming and Chai, Menglei and Wang, Guohui and Zhou, Peng and Huang, Feiyue and Hu, Bao-Gang and Ji, Rongrong and Ma, Chongyang

75. Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment. CVPR, 2020. paper

    Chen, Qiuyu and Zhang, Wei and Zhou, Ning and Lei, Peng and Xu, Yi and Zheng, Yu and Fan, Jianping

76. Composition-Aware Image Aesthetics Assessment. WACV, 2020. paper

    Liu, Dong and Puri, Rohit and Kamath, Nagendra and Bhattacharya, Subhabrata

77. Learning with Privileged Information for Photo Aesthetic Assessment. Neurocomputing, 2020. journal

    Shu, Yangyang and Li, Qian and Liu, Shaowu and Xu, Guandong

78. EVA: An Explainable Visual Aesthetics Dataset. Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends, 2020. journal, code

    Kang, Chen and Valenzise, Giuseppe and Dufaux, Frédéric

79. Object-Level Attention for Aesthetic Rating Distribution Prediction. ACM Multimedia, 2020. paper

    Hou, Jingwen and Yang, Sheng and Lin, Weisi

80. Representation Learning of Image Composition for Aesthetic Prediction. Computer Vision and Image Understanding, 2020. journal, code

    Zhao, Lin and Shang, Meimei and Gao, Fei and Li, Rongsheng and Huang, Fei and Yu, Jun

81. A Hypothesis for the Aesthetic Appreciation in Neural Networks. arXiv, 2021. journal

    Cheng, Xu and Wang, Xin and Xue, Haotian and Liang, Zhengyang and Zhang, Quanshi

82. Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Transactions on Multimedia, 2021. journal

    Shu, Yangyang and Li, Qian and Liu, Lingqiao and Xu, Guandong

83. Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment. CVPR, 2021. paper, code

    She, Dongyu and Lai, Yu-Kun and Yi, Gaoxiong and Xu, Kun

84. Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment. CVPR, 2021. paper, code

    Pfister, Jan and Kobs, Konstantin and Hotho, Andreas

85. Learning Image Aesthetic Assessment from Object-Level Visual Components. arXiv, 2021. journal

    Hou, Jingwen and Yang, Sheng and Lin, Weisi and Zhao, Baoquan and Fang, Yuming

86. Aesthetic Evaluation and Guidance for Mobile Photography. ACM Multimedia, 2021. paper

    Lou, Hao and Huang, Heng and Xiao, Chaoen and Jin, Xin

87. Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks. IJCAI, 2022. paper, code

    He, Shuai and Zhang, Yongchang and Xie, Rui and Jiang, Dongxiang and Ming, Anlong

88. Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment. arXiv, 2022. journal, code

    Nieto, Daniel Vera and Celona, Luigi and Fernandez-Labrador, Clara

89. Exploring Metrics to Establish an Optimal Model for Image Aesthetic Assessment and Analysis. Journal of Imaging, 2022. journal

    Dai, Ying

90. Composition and Style Attributes Guided Image Aesthetic Assessment. IEEE Transactions on Image Processing, 2022. journal

    Celona, Luigi and Leonardi, Marco and Napoletano, Paolo and Rozza, Alessandro

91. Learning Image Aesthetic Subjectivity from Attribute-Aware Relational Reasoning Network. Pattern Recognition Letters, 2022. journal

    Zhu, Hancheng and Zhou, Yong and Yao, Rui and Wang, Guangcheng and Yang, Yuzhe

92. Theme-Aware Semi-Supervised Image Aesthetic Quality Assessment. Mathematics, 2022. journal

    Zhang, Xiaodan and Zhang, Xun and Xiao, Yuan and Liu, Gang

93. Privileged Multi-Task Learning for Attribute-Aware Aesthetic Assessment. Pattern Recognition, 2022. journal

    Shu, Yangyang and Li, Qian and Liu, Lingqiao and Xu, Guandong

94. A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction. ICME Workshops, 2022. paper

    Jin, Xin and Li, Xinning and Huang, Heng and Li, Xiaodong and Xiao, Chaoen and Li, Xiqiao

95. Pseudo-Labeling and Meta Reweighting Learning for Image Aesthetic Quality Assessment. IEEE Transactions on Intelligent Transportation Systems, 2022. journal

    Jin, Xin and Lou, Hao and Huang, Heng and Li, Xinning and Li, Xiaodong and Cui, Shuai and Zhang, Xiaokun and Li, Xiqiao

96. Computational Analysis of Correlations Between Image Aesthetic and Image Naturalness in the Relation with Image Quality. Journal of Imaging, 2022. journal

    Le, Quyet-Tien and Ladret, Patricia and Nguyen, Huu-Tuan and Caplier, Alice

97. Metamp: Metalearning-Based Multipatch Image Aesthetics Assessment. IEEE Transactions on Cybernetics, 2022. journal

    Yang, Jiachen and Zhou, Yanshuang and Zhao, Yang and Lu, Wen and Gao, Xinbo

98. Interpretable Aesthetic Analysis Model for Intelligent Photography Guidance Systems. ACM IUI, 2022. paper

    Wu, Xiaoran

99. Distilling Knowledge from Object Classification to Aesthetics Assessment. IEEE Transactions on Circuits and Systems for Video Technology, 2022. journal

    Hou, Jingwen and Ding, Henghui and Lin, Weisi and Liu, Weide and Fang, Yuming

100. Theme-Aware Aesthetic Distribution Prediction with Full-Resolution Photographs. IEEE Transactions on Neural Networks and Learning Systems, 2022. journal

     Jia, Gengyun and Li, Peipei and He, Ran

101. BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations. IEEE Transactions on Visualization and Computer Graphics, 2022. journal

     He, Tingying and Isenberg, Petra and Dachselt, Raimund and Isenberg, Tobias

102. Compression Ensembles Quantify Aesthetic Complexity and the Evolution of Visual Art. arXiv, 2022. journal

     Karjus, Andres and Solà, Mar Canet and Ohm, Tillmann and Ahnert, Sebastian E and Schich, Maximilian

103. Clip Knows Image Aesthetics. Frontiers in Artificial Intelligence, 2022. journal

     Hentschel, Simon and Kobs, Konstantin and Hotho, Andreas

104. Aesthetic Attribute Assessment of Images Numerically on Mixed Multi-attribute Datasets. ACM Transactions on Multimedia Computing, Communications, and Applications, 2022. journal, code

     Jin, Xin and Li, Xinning and Lou, Hao and Fan, Chenyu and Deng, Qiang and Xiao, Chaoen and Cui, Shuai and Singh, Amit Kumar

105. MaxViT: Multi-Axis Vision Transformer. ECCV, 2022. paper, code

     Tu, Zhengzhong and Talebi, Hossein and Zhang, Han and Yang, Feng and Milanfar, Peyman and Bovik, Alan and Li, Yinxiao

106. Aesthetically Relevant Image Captioning. AAAI, 2023. paper, code

     Zhong, Zhipeng and Zhou, Fei and Qiu, Guoping

107. Neural Mechanisms Underlying the Hierarchical Construction of Perceived Aesthetic Value. Nature Communications, 2023. journal

     Iigaya, Kiyohito and Yi, Sanghyun and Wahle, Iman A and Tanwisuth, Sandy and Cross, Logan and Logan and O’Doherty, John P

108. VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining. , 2023. journal

     Ke, Junjie and Ye, Keren and Yu, Jiahui and Wu, Yonghui and Milanfar, Peyman and Yang, Feng

109. Towards Artistic Image Aesthetics Assessment: a Large-Scale Dataset and a New Method. CVPR, 2023. paper, code Yi, Ran; Tian, Haoyuan; Gu, Zhihao; Lai, Yu-Kun; Rosin, Paul L

110. AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks. ICCV, 2023. paper

 *Hong, Kibeom and Jeon, Seogkyu and Lee, Junsoo and Ahn, Namhyuk and Kim, Kunhee and Lee, Pilhyeon and Kim, Daesik and Uh, Youngjung and Byun, Hyeran*

111. GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning. ICCV, 2023. paper,code

 *Xie, Desai and Hu, Ping and Sun, Xin and Pirk, Soren and Zhang, Jianming and Mech, Radomir and Kaufman, E.Arie*

112. Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives. ICCV, 2023. paper

 *Wu, Haoning and Zhang, Erli and Liao, Liang and Chen, Chaofeng and Hou, Jingwen and Wang, Annan and Sun, Wenxiu and Yan, Qiong and Lin, Weisi*

113. Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks. ICCV, 2023. paper

 *He, Shuai and Ming, Anlong and Li, Yaqi and Sun, Jinyuan and Zeng, huntian and Ma, Huadong*

114. A Brain-inspired Multimodal Interaction Network for Image Aesthetic Assessment. ACM International Conference on Multimedia, 2023. paper

 *Nie, Xixi and Hu, Bo and Gao, Xinbo and Li, Leida and Zhang, Xiaodan and Xiao, Bin*

115. Personalized Image Aesthetics Assessment with Attribute-guided Fine-grained Feature Representation. ACM International Conference on Multimedia, 2023. paper

 *Zhu, Hancheng and Shao, Zhiwen and Zhou, Yong and Wang, Guangcheng and Chen, Pengfei and Li, Leida*

116. AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment. ACM International Conference on Multimedia, 2023. paper

 *Sheng, Xiangfei and Li, Leida and Chen, Pengfei and Wu, Jinjian and Dong, Weisheng and Yang, Yuzhe and Xu, Liwu and Li, Yanqian and Shi, Guangming*

117. EAT: An Enhancer for Aesthetics-Oriented Transformers Proceedings of the 31st ACM International Conference on Multimedia, 2023. paper, code

     He, Shuai and Ming, Anlong and Zheng, Shuntian and Zhong, Haobin and Ma, Huadong

118. A Machine Learning Paradigm for Studying Pictorial Realism: How Accurate are Constable's Clouds? IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. journal, code

     Zhang, Zhuomin and Mansfield, Elizabeth C and Li, Jia and Russell, John and Young, George S and Adams, Catherine and Bowley, Kevin A and Wang, James Z

119. AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception arXiv preprint arXiv:2401.08276, 2024. journal, code

     Huang, Yipo and Yuan, Quan and Sheng, Xiangfei and Yang, Zhichao and Wu, Haoning and Chen, Pengfei and Yang, Yuzhe and Li, Leida and Lin, Weisi

120. AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception arXiv preprint arXiv:2404.09624, 2024. journal, code

     Huang, Yipo and Sheng, Xiangfei and Yang, Zhichao and Yuan, Quan and Duan, Zhichao and Chen, Pengfei and Li, Leida and Lin, Weisi and Shi, Guangming

121. Coarse-to-fine Image Aesthetics Assessment With Dynamic Attribute Selection IEEE Transactions on Multimedia, 2024. journal, code

     Huang, Yipo and Li, Leida and Chen, Pengfei and Wu, Jinjian and Yang, Yuzhe and Li, Yaqian and Shi, Guangming

122. UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment arXiv preprint arXiv:2406.01069, 2024. journal, code

     Zhou, Hantao and Tang, Longxiang and Yang, Rui and Qin, Guanyi and Zhang, Yan and Hu, Runze and Li, Xiu

123. Multi-modal Learnable Queries for Image Aesthetics Assessment ICME, 2024. paper, code

     Xiong, Zhiwei and Zhang, Yunfan and Shen, Zhiqi and Ren, Peiran and Yu, Han

124. Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories IJCAI, 2024. paper, code

     Jin, Xin and Qiao, Qianqian and Lu, Yi and Gao, Shan and Huang, Heng and Li, Guangdong

125. A self-supervised image aesthetic assessment combining masked image modeling and contrastive learning Journal of Visual Communication and Image Representation, 2024. journal, code

     Yang, Shuai and Wang, Zibei and Wang, Guangao and Ke, Yongzhen and Qin, Fan and Guo, Jing and Chen, Liming

126. Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision: Insights from Group and Individual Assessments 人工知能学会全国大会論文集 第 38 回 (2024), 2024. paper, code

     Yoshia, Abe, and Tatsuya, Daikoku, and Yasuo, Kuniyoshi

127. Keep Knowledge in Perception: Zero-Shot Image Aesthetic Assessment ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. paper, code

     Wang, Guolong and Tan, Yike and Lin, Hangyu and Zhang, Chuchun

128. Emotion-aware hierarchical interaction network for multimodal image aesthetics assessment Pattern Recognition, 2024. journal, code

     Zhu, Tong and Li, Leida and Chen, Pengfei and Wu, Jinjian and Yang, Yuzhe and Li, Yaqian

Personalized Image Aesthetic Assessment

1. Personalized Image Aesthetic Quality Assessment By Joint Regression and Ranking. WACV, 2017. paper

   Park, Kayoung and Hong, Seunghoon and Baek, Mooyeol and Han, Bohyung

2. Personalized Image Aesthetics. ICCV, 2017. paper, code

   Ren, Jian and Shen, Xiaohui and Lin, Zhe and Mech, Radomir and Foran, David J

3. Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment. IJCAI, 2018. paper, code

   Wang, Guolong and Yan, Junchi and Qin, Zheng

4. Image Aesthetic Assessment based on Pairwise Comparison - A Unified Approach to Score Regression, Binary Classification, and Personalization. ICCV, 2019. paper

   Lee, Jun-Tae and Kim, Chang-Su

5. Personality Driven Multi-Task Learning for Image Aesthetic Assessment. ICME, 2019. paper

   Li, Leida and Zhu, Hancheng and Zhao, Sicheng and Ding, Guiguang and Jiang, Hongyan and Tan, Allen

6. Meta-Learning Perspective for Personalized Image Aesthetics Assessment. ICIP, 2019. paper

   Wang, Weining and Su, Junjie and Li, Lemin and Xu, Xiangmin and Luo, Jiebo

7. Personalized Image Aesthetics Assessment via Meta-Learning with Bilevel Gradient Optimization. IEEE Transactions on Image Processing, 2020. journal, code

   Zhu, Hancheng and Li, Leida and Wu, Jinjian and Zhao, Sicheng and Ding, Guiguang and Shi, Guangming

8. Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment. IEEE Transactions on Image Processing, 2020. journal

   Li, Leida and Zhu, Hancheng and Zhao, Sicheng and Ding, Guiguang, and Lin, Weisi

9. Personalized Image Quality Assessment with Social-Sensed Aesthetic Preference. Information Sciences, 2020. journal

   Cui, Chaoran and Yang, Wenya and Shi, Cheng and Wang, Meng and Nie, Xiushan and Yin, Yilong

10. Learning Personalized Image Aesthetics from Subjective and Objective Attributes. IEEE Transactions on Multimedia, 2021. journal

    Zhu, Hancheng and Zhou, Yong and Li, Leida and Li, Yaqian and Guo, Yandong

11. User-Guided Personalized Image Aesthetic Assessment Based on Deep Reinforcement Learning. IEEE Transactions on Multimedia, 2021. journal

    Lv, Pei and Fan, Jianqi and Nie, Xixi and Dong, Weiming and Jiang, Xiaoheng and Zhou, Bing and Xu, Mingliang and Xu, Changsheng

12. Interaction-Matrix Based Personalized Image Aesthetics Assessment. IEEE Transactions on Multimedia, 2022. journal

    Hou, Jingwen and Lin, Weisi and Yue, Guanghui and Liu, Weide and Zhao, Baoquan

13. Personalized Image Aesthetics Assessment with Rich Attributes. CVPR, 2022. paper, code

    Yang, Yuzhe and Xu, Liwu and Li, Leida and Qie, Nan and Li, Yaqian and Zhang, Peng and Guo, Yandong

14. Transductive Aesthetic Preference Propagation for Personalized Image Aesthetics Assessment. ACM Multimedia, 2022. paper

    Li, Yaohui and Yang, Yuzhe and Li, Huaxiong and Chen, Haoxing and Xu, Liwu and Li, Leida and Li, Yaqian and Guo, Yandong

15. Personalized Image Aesthetics Assessment based on Graph Neural Network and Collaborative Filtering Knowledge-Based Systems, 2024. journal, code

    Shi, Huiying and Guo, Jing and Ke, Yongzhen and Wang, Kai and Yang, Shuai and Qin, Fan and Chen, Liming

Aesthetic Critique

1. Joint Image and Text Representation for Aesthetics Analysis. ACM Multimedia, 2016. paper

   Zhou, Ye and Lu, Xin and Zhang, Junping and Wang, James Z.

2. Aesthetic Critiques Generation for Photos. ICCV, 2017. paper, code

   Chang, Kuang-Yu and Lu, Kung-Hung and Chen, Chu-Song

3. Aesthetic Attributes Assessment of Images. ACM Multimedia, 2019. paper, code

   Jin, Xin and Wu, Le and Zhao, Geng and Li, Xiaodong and Zhang, Xiaokun and Ge, Shiming and Zou, Dongqing and Zhou, Bin and Zhou, Xinghui

4. Aesthetic Image Captioning from Weakly-Labelled Photographs. ICCV Workshops, 2019. paper, code

   Ghosal, Koustav and Rana, Aakanksha and Smolic, Aljosa

5. Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment. arXiv, 2022. journal, code

   Nieto, Daniel Vera and Celona, Luigi and Fernandez-Labrador, Clara

6. Aesthetically Relevant Image Captioning. AAAI, 2023. paper, code

   Zhong, Zhipeng and Zhou, Fei and Qiu, Guoping

Dataset

1. AVA: A Large-Scale Database for Aesthetic Visual Analysis. CVPR, 2012. paper, code

   Murray, Naila and Marchesotti, Luca and Perronnin, Florent

2. Aesthetic Critiques Generation for Photos. ICCV, 2017. paper, code

   Chang, Kuang-Yu and Lu, Kung-Hung and Chen, Chu-Song

3. Personalized Image Aesthetics. ICCV, 2017. paper, code

   Ren, Jian and Shen, Xiaohui and Lin, Zhe and Mech, Radomir and Foran, David J

4. Aesthetic Attributes Assessment of Images. ACM Multimedia, 2019. paper, code

   Jin, Xin and Wu, Le and Zhao, Geng and Li, Xiaodong and Zhang, Xiaokun and Ge, Shiming and Zou, Dongqing and Zhou, Bin and Zhou, Xinghui

5. Aesthetic Image Captioning from Weakly-Labelled Photographs. ICCV Workshops, 2019. paper, code

   Ghosal, Koustav and Rana, Aakanksha and Smolic, Aljosa

6. EVA: An Explainable Visual Aesthetics Dataset. Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends, 2020. journal, code

   Kang, Chen and Valenzise, Giuseppe and Dufaux, Frédéric

7. Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks. IJCAI, 2022. paper, code

   He, Shuai and Zhang, Yongchang and Xie, Rui and Jiang, Dongxiang and Ming, Anlong

8. Personalized Image Aesthetics Assessment with Rich Attributes. CVPR, 2022. paper, code

   Yang, Yuzhe and Xu, Liwu and Li, Leida and Qie, Nan and Li, Yaqian and Zhang, Peng and Guo, Yandong

9. Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment. arXiv, 2022. journal, code

   Nieto, Daniel Vera and Celona, Luigi and Fernandez-Labrador, Clara

10. Towards Artistic Image Aesthetics Assessment: a Large-Scale Dataset and a New Method. CVPR, 2023. paper, code

    Yi, Ran and Tian, Haoyuan and Gu, Zhihao and Lai, Yu-Kun and Rosin, Paul L

11. Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories IJCAI, 2024. paper, code

    Jin, Xin and Qiao, Qianqian and Lu, Yi and Gao, Shan and Huang, Heng and Li, Guangdong

Aesthetic Assessment in Downstream Tasks

1. Evolutionary Image Synthesis Using a Model of Aesthetics. ICEC, 2006. paper

   Zong, Hai

2. Aesthetic Quality Assessment of Consumer Photos with Faces. ICIP, 2010. paper

   Li, Congcong and Gallagher, Andrew and Loui, Alexander C. and Chen, Tsuhan

3. Aesthetic Visual Quality Evaluation of Chinese Handwritings. IJCAI, 2015. paper

   Sun, Rongju and Lian, Zhouhui and Tang, Yingmin and Xiao, Jianguo

4. Photo Filter Recommendation By Category-Aware Aesthetic Learning. IEEE Transactions on Multimedia, 2017. journal

   Sun, Wei-Tse and Chao, Ting-Hsuan and Kuo, Yin-Hsi and Hsu, Winston H.

5. Computational Aesthetic Evaluation of Logos. ACM Transactions on Applied Perception, 2017. journal

   Zhang, Jiajing and Yu, Jinhui and Zhang, Kang and Zheng, Xianjun Sam and Zhang, Junsong

6. User's Web Page Aesthetics Opinion: A Matter of Low-Level Image Descriptors Based on Mpeg-7. ACM Transactions on the Web, 2017. journal

   Uribe, Silvia and Álvarez, Federico and Menéndez, José Manuel

7. RA Code: A Robust and Aesthetic Code for Resolution-Constrained Applications. IEEE Transactions on Circuits and Systems for Video Technology, 2017. journal

   Chen, Changsheng and Zhou, Baojian and Mow, Wai Ho

8. Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression. IEEE Transactions on Multimedia, 2018. journal

   Guo, Guanjun and Wang, Hanzi and Shen, Chunhua and Yan, Yan and Liao, Hong-Yuan Mark

9. A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping. IEEE transactions on Pattern Analysis and Machine Intelligence, 2018. journal

   Wang, Wenguan and Shen, Jianbing and Ling, Haibin

10. Detecting and Removing Visual Distractors for Video Aesthetic Enhancement. IEEE Transactions on Multimedia, 2018. journal

    Zhang, Fang-Lue and Wu, Xian and Li, Rui-Long and Wang, Jue and Zheng, Zhao-Heng and Hu, Shi-Min

11. Aesthetic Highlight Detection in Movies Based on Synchronization of Spectators’ Reactions. , 2018. journal

    Muszynski, Michal and Kostoulas, Theodoros and Lombardo, Patrizia and Pun, Thierry and Chanel, Guillaume

12. A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping. CVPR, 2018. paper

    Li, Debang and Wu, Huikai and Zhang, Junge and Huang, Kaiqi

13. Disentangling Structure and Aesthetics for Style-Aware Image Completion. CVPR, 2018. paper

    Gilbert, Andrew and Collomosse, John and Jin, Hailin and Price, Brian

14. Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping. IEEE Transactions on Image Processing, 2019. journal

    Li, Debang and Wu, Huikai and Zhang, Junge and Huang, Kaiqi

15. Color Theme–based Aesthetic Enhancement Algorithm to Emulate the Human Perception of Beauty in Photos. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2019. journal

    Panetta, Karen and Bao, Long and Agaian, Sos and Oludare, Victor

16. Stylized Aesthetic Qr Code. IEEE Transactions on Multimedia, 2019. journal

    Xu, Mingliang and Su, Hao and Li, Yafei and Li, Xi and Liao, Jing and Niu, Jianwei and Lv, Pei and Zhou, Bing

17. GANmera: Reproducing Aesthetically Pleasing Photographs Using Deep Adversarial Networks. CVPR Workshops, 2019. paper

    Chong, Nelson and Wong, Lai-Kuan and See, John

18. PFAGAN: An Aesthetics-Conditional Gan for Generating Photographic Fine Art. ICCV Workshops, 2019. paper

    Murray, Naila

19. Aesthetic Knowledge Diagrams: Bridging Understanding and Communication. Knowledge Management, Arts, and Humanities: Interdisciplinary Approaches and the Benefits of Collaboration, 2019. journal

    Gavrilova, Tatiana and Kudryavtsev, Dmitry and Grinberg, Elvira

20. Text-to-Image Synthesis via Aesthetic Layout. ACM Multimedia, 2020. paper

    Baraheem, Samah Saeed and Le, Trung-Nghia and Nguyen, Tam V

21. Learning the Relation Between Interested Objects and Aesthetic Region for Image Cropping. IEEE Transactions on Multimedia, 2020. journal

    Lu, Peng and Zhang, Hao and Peng, Xujun and Jin, Xiaofu

22. Roundness-Preserving Warping for Aesthetic Enhancement-Based Stereoscopic Image Editing. IEEE Transactions on Circuits and Systems for Video Technology, 2020. journal

    Chai, Xiongli and Shao, Feng and Jiang, Qiuping and Ho, Yo-Sung

23. Image Cropping with Composition and Saliency Aware Aesthetic Score Map. AAAI, 2020. paper

    Tu, Yi and Niu, Li and Zhao, Weijie and Cheng, Dawei and Zhang, Liqing

24. Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting. CVPR, 2020. paper

    Yan, Bo and Lin, Qing and Tan, Weimin and Zhou, Shili

25. Climaxing VR Character with Scene-Aware Aesthetic Dress Synthesis. VR, 2021. paper, code

    Hou, Sifan and Wang, Yujia and Ning, Bing and Liang, Wei

26. Harmonious Textual Layout Generation Over Natural Images via Deep Aesthetics Learning. IEEE Transactions on Multimedia, 2021. journal, code

    Li, Chenhui and Zhang, Peiying and Wang, Changbo

27. Aesthetic-Guided Outward Image Cropping. ACM Transactions on Graphics (TOG), 2021. journal

    Zhong, Lei and Li, Feng-Heng and Huang, Hao-Zhi and Zhang, Yong and Lu, Shao-Ping and Wang, Jue

28. ART-UP: A Novel Method for Generating Scanning-Robust Aesthetic Qr Codes. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021. journal

    Xu, Mingliang and Li, Qingfeng and Niu, Jianwei and Su, Hao and Liu, Xiting and Xu, Weiwei and Lv, Pei and Zhou, Bing and Yang, Yi

29. On the Detection of Structural Aesthetic Defects of Android Mobile User Interfaces with a Metrics-based tool. ACM Transactions on Interactive Intelligent Systems (TiiS), 2021. journal

    Bessghaier, Narjes and Soui, Makram and Kolski, Christophe and Chouchane, Mabrouka

30. AI Carpet: Automatic Generation of Aesthetic Carpet Pattern. ACM Multimedia, 2022. paper

    Wang, Ziyi and Wang, Xingqi and Jin, Zeyu and Li, Xiaohan and Sun, Shikun and Jia, Jia

31. Aesthetic Text Logo Synthesis via Content-Aware Layout Inferring. CVPR, 2022. paper, code

    Wang, Yizhi and Pu, Guo and Luo, Wenhan and Wang, Yexin and Xiong, Pengfei and Kang, Hongwen and Lian, Zhouhui

32. Validation of an Aesthetic Assessment System for Commercial Tasks. Entropy, 2022. journal

    Rodriguez-Fernandez, Nereida and Alvarez-Gonzalez, Sara and Santos, Iria and Torrente-Patiño, Alvaro and Carballal, Adrian and Romero, Juan

33. “I Feel Like I Am in That Place and I Would Like to See More.”: Aesthetic and Embodiment Components of tourist Destination Image. Psychology of Aesthetics, Creativity, and the Arts, 2022. journal

    Malvica, Sonia and Palumbo, Letizia and Cazzato, Valentina

34. AesUST: Towards Aesthetic-Enhanced Universal Style Transfer. ACM Multimedia, 2022. paper, code

    Wang, Zhizhong and Zhang, Zhanjie and Zhao, Lei and Zuo, Zhiwen and Li, Ailin and Xing, Wei and Lu, Dongming

35. How Good Is Aesthetic Ability of a Fashion Model? CVPR, 2022. paper

    Zou, Xingxing and Pang, Kaicheng and Zhang, Wen and Wong, Waikeung

36. In Pursuit of Beauty: Aesthetic-Aware and Context-Adaptive Photo Selection in Crowdsensing. IEEE Transactions on Knowledge and Data Engineering, 2023. journal

    Zhou, Tongqing and Cai, Zhiping and Liu, Fang and Su, Jinshu

37. The Relations of Empathy and Gender to Aesthetic Response and Aesthetic Inference of Visual Artworks. Empirical Studies of the Arts, 2023. journal

    Miller, Chantal A and Hübner, Ronald

38. Oacode: Overall Aesthetic 2d Barcode on Screen. IEEE Transactions on Multimedia, 2023. journal

    Ma, Zehua and Yang, Xi and Fang, Han and Zhang, Weiming and Yu, Nenghai

39. Textstylebrush: Transfer of Text Aesthetics from a Single Example. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. journal

    Krishnan, Praveen and Kovvuri, Rama and Pang, Guan and Vassilev, Boris and Hassner, Tal

40. All-E: Aesthetics-Guided Low-Light Image Enhancement. arXiv, 2023. journal

    Li, Ling and Liang, Dong and Gao, Yuanhang and Huang, Sheng-Jun and Chen, Songcan

41. Text2QR: Harmonizing Aesthetic Customization and Scanning Robustness for Text-Guided QR Code Generation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024. paper, code

    Wu, Guangyang and Liu, Xiaohong and Jia, Jun and Cui, Xuehao and Zhai, Guangtao

42. Understanding and Evaluating Human Preferences for AI Generated Images with Instruction Tuning arXiv preprint arXiv:2405.07346, 2024. journal, code

    Wang, Jiarui and Duan, Huiyu and Zhai, Guangtao and Min, Xiongkuo