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Image Aesthetic Assessment (IAA) is a long-standing and challenging research task.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Predicting facial beauty without landmarks
Douglas Gray, Kai Yu, Wei Xu, and Yihong Gong · 2010
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Ava: A large-scale database for aesthetic visual analysis
Naila Murray, Luca Marchesotti, and Florent Perronnin · 2012
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Methodology for the subjective assessment of the quality of television pictures
B Series · 2012
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Image aesthetic assessment: An experimental survey
Yubin Deng, Chen Change Loy, and Xiaoou Tang · 2017
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Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
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Scut-fbp5500: A diverse benchmark dataset for multi-paradigm facial beauty prediction
Lingyu Liang, Luojun Lin, Lianwen Jin, Duorui Xie, and Mengru Li · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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Effective aesthetics prediction with multi-level spatially pooled features
Vlad Hosu, Bastian Goldlucke, and Dietmar Saupe · 2019
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A comprehensive survey on image aesthetic quality assessment
Hongtao Yang, Ping Shi, Saike He, Da Pan, Zefeng Ying, and Ling Lei · 2019
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Retinaface: Single-shot multi-level face localisation in the wild
Jiankang Deng, Jia Guo, Evangelos Ververas, Irene Kotsia, and Stefanos Zafeiriou · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy · 2020
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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A comprehensive survey on computational aesthetic evaluation of visual art images: Metrics and challenges
Jiajing Zhang, Yongwei Miao, and Jinhui Yu · 2021
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Rethinking image aesthetics assessment: Models, datasets and benchmarks
Shuai He, Yongchang Zhang, Rui Xie, Dongxiang Jiang, and Anlong Ming · 2022
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Mebeauty: a multi-ethnic facial beauty dataset in-the-wild
Irina Lebedeva, Yi Guo, and Fangli Ying · 2022
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General facial representation learning in a visual-linguistic manner
Yinglin Zheng, Hao Yang, Ting Zhang, Jianmin Bao, Dongdong Chen, Yangyu Huang, Lu Yuan, Dong Chen, Ming Zeng, and Fang Wen · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Thinking image color aesthetics assessment: Models, datasets and benchmarks
Shuai He, Anlong Ming, Yaqi Li, Jinyuan Sun, ShunTian Zheng, and Huadong Ma · 2023
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Eat: An enhancer for aesthetics-oriented transformers
Shuai He, Anlong Ming, Shuntian Zheng, Haobin Zhong, and Huadong Ma · 2023
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Vila: Learning image aesthetics from user comments with vision-language pretraining
Junjie Ke, Keren Ye, Jiahui Yu, Yonghui Wu, Peyman Milanfar, and Feng Yang · 2023
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Rich human feedback for text-to-image generation
Youwei Liang, Junfeng He, Gang Li, Peizhao Li, Arseniy Klimovskiy, Nicholas Carolan, Jiao Sun, Jordi Pont-Tuset, Sarah Young, Feng Yang, et al · 2024
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Freehand sketch generation from mechanical components
Zhichao Liao, Fengyuan Piao, Di Huang, Xinghui Li, Yue Ma, Pingfa Feng, Heming Fang, and Long Zeng · 2024
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Dreamfit: Garment-centric human generation via a lightweight anything-dressing encoder
Ente Lin, Xujie Zhang, Fuwei Zhao, Yuxuan Luo, Xin Dong, Long Zeng, and Xiaodan Liang · 2024
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Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bochao Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, et al · 2024
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Improved baselines with visual instruction tuning
Haotian Liu, Chunyuan Li, Yuheng Li, and Yong Jae Lee · 2024
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Agiqa-3k: An open database for ai-generated image quality assessment
Chunyi Li, Zicheng Zhang, Haoning Wu, Wei Sun, Xiongkuo Min, Xiaohong Liu, Guangtao Zhai, and Weisi Lin · 2023
Cited alongside, same era.
Exploring clip for assessing the look and feel of images
Jianyi Wang, Kelvin CK Chan, and Chen Change Loy · 2023
Cited alongside, same era.
Q-bench: A benchmark for general-purpose foundation models on low-level vision
Haoning Wu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao, Annan Wang, Chunyi Li, Wenxiu Sun, Qiong Yan, Guangtao Zhai, et al · 2023
Cited alongside, same era.
Q-align: Teaching lmms for visual scoring via discrete text-defined levels
Haoning Wu, Zicheng Zhang, Weixia Zhang, Chaofeng Chen, Liang Liao, Chunyi Li, Yixuan Gao, Annan Wang, Erli Zhang, Wenxiu Sun, et al · 2023
Cited alongside, same era.
Towards artistic image aesthetics assessment: a large-scale dataset and a new method
Ran Yi, Haoyuan Tian, Zhihao Gu, Yu-Kun Lai, and Paul L Rosin · 2023
Cited alongside, same era.
Phi-3 technical report: A highly capable language model locally on your phone
Marah Abdin, Jyoti Aneja, Hany Awadalla, Ahmed Awadallah, Ammar Ahmad Awan, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Jianmin Bao, Harkirat Behl, et al · 2024
Cited alongside, same era.
Quality-aware image-text alignment for real-world image quality assessment
Lorenzo Agnolucci, Leonardo Galteri, and Marco Bertini · 2024
Cited alongside, same era.
Llava-next: Improved reasoning, ocr, and world knowledge. https://llava-vl.github.io/blog/2024-01-30-llava-next, 2024
Haotian Liu, Chunyuan Li, Yuheng Li, Bo Li, Yuanhan Zhang, Sheng Shen, and Yong Jae Lee · 2024
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Codeswap: Symmetrically face swapping based on prior codebook
Xiangyang Luo, Xin Zhang, Yifan Xie, Xinyi Tong, Weijiang Yu, Heng Chang, Fei Ma, and Fei Richard Yu · 2024
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Llama-3.2-11b-vision. https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices, 2024
Meta · 2024
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Internvl2: Better than the best—expanding performance boundaries of open-source multimodal models with the progressive scaling strategy. https://internvl.github.io/blog/2024-07-02-internvl-2.0
OpenGVLab Team · 2024
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Grid: Visual layout generation
Cong Wan, Xiangyang Luo, Zijian Cai, Yiren Song, Yunlong Zhao, Yifan Bai, Yuhang He, and Yihong Gong · 2024
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Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution
Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, et al · 2024
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Lift: Leveraging human feedback for text-to-video model alignment
Yibin Wang, Zhiyu Tan, Junyan Wang, Xiaomeng Yang, Cheng Jin, and Hao Li · 2024
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Q-instruct: Improving low-level visual abilities for multi-modality foundation models
Haoning Wu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao, Annan Wang, Kaixin Xu, Chunyi Li, Jingwen Hou, Guangtao Zhai, et al · 2024
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An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, et al · 2024
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Minicpm-v: A gpt-4v level mllm on your phone
Yuan Yao, Tianyu Yu, Ao Zhang, Chongyi Wang, Junbo Cui, Hongji Zhu, Tianchi Cai, Haoyu Li, Weilin Zhao, Zhihui He, et al · 2024
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Swift: a scalable lightweight infrastructure for fine-tuning
Yuze Zhao, Jintao Huang, Jinghan Hu, Xingjun Wang, Yunlin Mao, Daoze Zhang, Zeyinzi Jiang, Zhikai Wu, Baole Ai, Ang Wang, et al · 2024
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Uniaa: A unified multi-modal image aesthetic assessment baseline and benchmark
Zhaokun Zhou, Qiulin Wang, Bin Lin, Yiwei Su, Rui Chen, Xin Tao, Amin Zheng, Li Yuan, Pengfei Wan, and Di Zhang · 2024
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al · 2025
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Object isolated attention for consistent story visualization
Xiangyang Luo, Junhao Cheng, Yifan Xie, Xin Zhang, Tao Feng, Zhou Liu, Fei Ma, and Fei Yu · 2025
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Lapis: A novel dataset for personalized image aesthetic assessment
Anne-Sofie Maerten, Li-Wei Chen, Stefanie De Winter, Christophe Bossens, and Johan Wagemans · 2025
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Spf-portrait: Towards pure portrait customization with semantic pollution-free fine-tuning
Xiaole Xian, Zhichao Liao, Qingyu Li, Wenyu Qin, Pengfei Wan, Weicheng Xie, Long Zeng, Linlin Shen, and Pingfa Feng · 2025
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