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In the span of a few months, generative Artificial Intelligence (AI) tools that can generate realistic images or text have taken the Internet by storm, making them one of the technologies with fastest adoption ever.
Breast cancer image classification based on CNN and bit-plane slicing
Guoming Chen, Yongchang Chen, Zeduo Yuan, Xuming Lu, Xiongyong Zhu, and Wanyi Li · 2019
Earlier work this paper cites.
Pedestrian recognition using cross-modality learning in convolutional neural networks
Danut Ovidiu Pop, Alexandrina Rogozan, Fawzi Nashashibi, and Abdelaziz Bensrhair · 2021
Earlier work this paper cites.
CogView: Mastering text-to-image generation via transformers
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, and Jie Tang · 2021
Earlier work this paper cites.
LAION-400M: Open dataset of CLIP-filtered 400 million image-text pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki · 2021
Earlier work this paper cites.
Generated faces in the wild: Quantitative comparison of stable diffusion, Midjourney and DALL-E 2
Ali Borji · 2022
Cited alongside, same era.
AI art in architecture
Joern Ploennigs and Markus Berger · 2022
Cited alongside, same era.
Can artificial intelligence reconstruct ancient mosaics?
Fernando Moral-Andrés, Elena Merino-Gómez, Pedro Reviriego, and Fabrizio Lombardi · 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.
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev · 2022
Later among the works it cites.
Will large-scale generative models corrupt future datasets?
Ryuichiro Hataya, Han Bao, and Hiromi Arai · 2022
Later among the works it cites.
ChatGPT is not all you need. a state of the art review of large generative AI models
Roberto Gozalo-Brizuela and Eduardo C. Garrido-Merchan · 2023
Closest in time.
Is AI art another industrial revolution in the making?
Alexis Newton and Kaustubh Dhole · 2023
Closest in time.
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