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In recent years, Artificial Intelligence Generated Content (AIGC) has gained widespread attention beyond the computer science community.
No-reference image quality assessment using visual codebooks
Peng Ye and David Doermann · 2012
Earlier work this paper cites.
Universal blind image quality assessment metrics via natural scene statistics and multiple kernel learning
Xinbo Gao, Fei Gao, Dacheng Tao, and Xuelong Li · 2013
Earlier work this paper cites.
Convolutional neural networks for no-reference image quality assessment
Le Kang, Peng Ye, Yi Li, and David Doermann · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Perceptual quality prediction on authentically distorted images using a bag of features approach
Deepti Ghadiyaram and Alan C Bovik · 2017
Earlier work this paper cites.
Fully deep blind image quality predictor
Jongyoo Kim and Sanghoon Lee · 2017
Earlier work this paper cites.
Agedb: The first manually collected, in-the-wild age database
Stylianos Moschoglou, Athanasios Papaioannou, Christos Sagonas, Jiankang Deng, Irene Kotsia, and Stefanos Zafeiriou · 2017
Earlier work this paper cites.
Learning to score olympic events
Paritosh Parmar and Brendan Tran Morris · 2017
Earlier work this paper cites.
Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander Alemi · 2017
Earlier work this paper cites.
Visual weather temperature prediction
Wei-Ta Chu, Kai-Chia Ho, and Ali Borji · 2018
Cited alongside, same era.
Attngan: Fine-grained text to image generation with attentional generative adversarial networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He · 2018
Cited alongside, same era.
Two-stream convolutional networks for blind image quality assessment
Qingsen Yan, Dong Gong, and Yanning Zhang · 2019
Cited alongside, same era.
Blindly assess image quality in the wild guided by a self-adaptive hyper network
Shaolin Su, Qingsen Yan, Yu Zhu, Cheng Zhang, Xin Ge, Jinqiu Sun, and Yanning Zhang · 2020
Cited alongside, same era.
No-reference image quality assessment based on multiscale feature representation
Junhui Li, Shuang Qiao, Chenyi Zhao, and Tian Zhang · 2021
Cited alongside, same era.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Text-guided synthesis of artistic images with retrieval-augmented diffusion models
Robin Rombach, Andreas Blattmann, and Björn Ommer · 2022
Later among the works it cites.
Blind quality assessment for in-the-wild images via hierarchical feature fusion strategy
Wei Sun, Huiyu Duan, Xiongkuo Min, Li Chen, and Guangtao Zhai · 2022
Later among the works it cites.
Supervised contrastive regression
Kaiwen Zha, Peng Cao, Yuzhe Yang, and Dina Katabi · 2022
Later among the works it cites.
Towards language-free training for text-to-image generation
Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, and Tong Sun · 2022
Later among the works it cites.
One transformer fits all distributions in multi-modal diffusion at scale
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, and Jun Zhu · 2023
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Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2021
Cited alongside, same era.
A multi-dimensional aesthetic quality assessment model for mobile game images
Tao Wang, Wei Sun, Xiongkuo Min, Wei Lu, Zicheng Zhang, and Guangtao Zhai · 2021
Cited alongside, same era.
Group-aware contrastive regression for action quality assessment
Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, and Jie Zhou · 2021
Cited alongside, same era.
https://www.midjourney.com/home/ , 2022
Midjourney · 2022
Cited alongside, same era.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Closest in time.
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
Closest in time.
No-reference image quality assessment via multibranch convolutional neural networks
Zhaoqing Pan, Feng Yuan, Xu Wang, Long Xu, Xiao Shao, and Sam Kwong · 2023
Closest in time.
Jiarui Wang, Huiyu Duan, Jing Liu, Shi Chen, Xiongkuo Min, and Guangtao Zhai · 2023
Closest in time.
Pku-i2iqa: An image-to-image quality assessment database for ai generated images
Jiquan Yuan, Xinyan Cao, Changjin Li, Fanyi Yang, Jinlong Lin, and Xixin Cao · 2023
Closest in time.
Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
Closest in time.
A perceptual quality assessment exploration for aigc images
Zicheng Zhang, Chunyi Li, Wei Sun, Xiaohong Liu, Xiongkuo Min, and Guangtao Zhai · 2023
Closest in time.