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The advancement of visual intelligence is intrinsically tethered to the availability of large-scale data. In parallel, generative Artificial Intelligence (AI) has unlocked the potential to create synthetic images that closely resemble…

Computer Vision and Pattern Recognition · Computer Science 2023-10-24 Zuhao Yang , Fangneng Zhan , Kunhao Liu , Muyu Xu , Shijian Lu

Recent advances in generative pre-trained transformer large language models have emphasised the potential risks of unfair use of artificial intelligence (AI) generated content in an academic environment and intensified efforts in searching…

Generative AIs produce creative outputs in the style of human expression. We argue that encounters with the outputs of modern generative AI models are mediated by the same kinds of aesthetic judgments that organize our interactions with…

Computers and Society · Computer Science 2023-09-25 Jessica Hullman , Ari Holtzman , Andrew Gelman

Generative artificial intelligence models show an amazing performance creating unique content automatically just by being given a prompt by the user, which is revolutionizing several fields such as marketing and design. Not only are there…

Computers and Society · Computer Science 2024-07-03 Adriana Fernández de Caleya Vázquez , Eduardo C. Garrido-Merchán

While the term `art' defies any concrete definition, this paper aims to examine how digital images produced by generative AI systems, such as Midjourney, have come to be so regularly referred to as such. The discourse around the…

Artificial Intelligence · Computer Science 2023-07-13 Amy Smith , Michael Cook

In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image. Thus far the algorithmic basis of this process is unknown…

Computer Vision and Pattern Recognition · Computer Science 2015-09-03 Leon A. Gatys , Alexander S. Ecker , Matthias Bethge

With advances in generative artificial intelligence (AI), it is now possible to produce realistic-looking automated reports for preliminary reads of radiology images. This can expedite clinical workflows, improve accuracy and reduce overall…

Artificial Intelligence · Computer Science 2025-06-03 Razi Mahmood , Diego Machado Reyes , Ge Wang , Mannudeep Kalra , Pingkun Yan

A creative image-and-text generative AI system mimics humans' extraordinary abilities to provide users with diverse and comprehensive caption suggestions, as well as rich image creations. In this work, we demonstrate such an AI creation…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Yupan Huang , Bei Liu , Jianlong Fu , Yutong Lu

The rapid proliferation of AI-generated image tools is transforming the art and design fields, challenging traditional notions of creativity and impacting both professional and non-professional users. For the purposes of this paper, we…

Human-Computer Interaction · Computer Science 2024-06-18 Yuying Tang , Ningning Zhang , Mariana Ciancia , Zhigang Wang

Generative AI is an emerging technology that will have a profound impact on society and individuals. Only a decade ago, it was thought that creative work would be among the last to be automated - yet today, we see AI encroaching on creative…

Human-Computer Interaction · Computer Science 2023-05-03 Jonas Oppenlaender , Aku Visuri , Ville Paananen , Rhema Linder , Johanna Silvennoinen

Text-to-image generative models are capable of producing high-quality images that often faithfully depict concepts described using natural language. In this work, we comprehensively evaluate a range of text-to-image models on numerical…

Machine Learning · Computer Science 2025-02-07 Ivana Kajić , Olivia Wiles , Isabela Albuquerque , Matthias Bauer , Su Wang , Jordi Pont-Tuset , Aida Nematzadeh

Assessing the artness of AI-generated images continues to be a challenge within the realm of image generation. Most existing metrics cannot be used to perform instance-level and reference-free artness evaluation. This paper presents…

Computer Vision and Pattern Recognition · Computer Science 2024-06-11 Junyu Chen , Jie An , Hanjia Lyu , Christopher Kanan , Jiebo Luo

Detecting manipulated images has become a significant emerging challenge. The advent of image sharing platforms and the easy availability of advanced photo editing software have resulted in a large quantities of manipulated images being…

Computer Vision and Pattern Recognition · Computer Science 2019-11-26 Peng Zhou , Bor-Chun Chen , Xintong Han , Mahyar Najibi , Abhinav Shrivastava , Ser Nam Lim , Larry S. Davis

Generative Artificial Intelligence (AI) is a cutting-edge technology capable of producing text, images, and various media content leveraging generative models and user prompts. Between 2022 and 2023, generative AI surged in popularity with…

Artificial Intelligence · Computer Science 2023-10-27 Nouar AlDahoul , Joseph Hong , Matteo Varvello , Yasir Zaki

Computer vision systems are designed to work well within the context of everyday photography. However, artists often render the world around them in ways that do not resemble photographs. Artwork produced by people is not constrained to…

Computer Vision and Pattern Recognition · Computer Science 2017-07-11 Michael J. Wilber , Chen Fang , Hailin Jin , Aaron Hertzmann , John Collomosse , Serge Belongie

Creativity is a valuable human skill that has long been augmented through both analog and digital tools. Recent progress in generative AI, such as image generation, provides a disruptive technological solution to supporting human creativity…

Human-Computer Interaction · Computer Science 2025-06-05 Daniel Hove Paludan , Julie Fredsgård , Kasper Patrick Bährentz , Ilhan Aslan , Niels van Berkel

Training medical AI algorithms requires large volumes of accurately labeled datasets, which are difficult to obtain in the real world. Synthetic images generated from deep generative models can help alleviate the data scarcity problem, but…

Image and Video Processing · Electrical Eng. & Systems 2023-06-16 Xiaodan Xing , Yang Nan , Federico Felder , Simon Walsh , Guang Yang

Image and shape editing are ubiquitous among digital artworks. Graphics algorithms facilitate artists and designers to achieve desired editing intents without going through manually tedious retouching. In the recent advance of machine…

Graphics · Computer Science 2023-04-20 Cheng-Kang Ted Chao , Yotam Gingold

Text-to-image generation and text-guided image manipulation have received considerable attention in the field of image generation tasks. However, the mainstream evaluation methods for these tasks have difficulty in evaluating whether all…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Mizuki Miyamoto , Ryugo Morita , Jinjia Zhou

In the realm of digital media, the advent of AI-generated synthetic images has introduced significant challenges in distinguishing between real and fabricated visual content. These images, often indistinguishable from authentic ones, pose a…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Yuyang Wang , Yizhi Hao , Amando Xu Cong