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Recent advancements in Artificial Intelligence have led to remarkable improvements in generating realistic human faces. While these advancements demonstrate significant progress in generative models, they also raise concerns about the…

计算机视觉与模式识别 · 计算机科学 2024-09-25 Jin Huang , Subhadra Gopalakrishnan , Trisha Mittal , Jake Zuena , Jaclyn Pytlarz

The growing capabilities of AI in generating video content have brought forward significant challenges in effectively evaluating these videos. Unlike static images or text, video content involves complex spatial and temporal dynamics which…

计算机视觉与模式识别 · 计算机科学 2026-03-23 Xiao Liu , Xinhao Xiang , Zizhong Li , Yongheng Wang , Zhuoheng Li , Zhuosheng Liu , Weidi Zhang , Weiqi Ye , Jiawei Zhang

AI-generated video generation continues its journey through the uncanny valley to produce content that is increasingly perceptually indistinguishable from reality. To better protect individuals, organizations, and societies from its…

计算机视觉与模式识别 · 计算机科学 2025-06-24 Matyas Bohacek , Hany Farid

Generative Artificial Intelligence (AI) has rapidly advanced the field of computer vision by enabling machines to create and interpret visual data with unprecedented sophistication. This transformation builds upon a foundation of generative…

计算机视觉与模式识别 · 计算机科学 2025-04-22 Daochang Liu , Junyu Zhang , Anh-Dung Dinh , Eunbyung Park , Shichao Zhang , Ajmal Mian , Mubarak Shah , Chang Xu

AI-generated media has become a threat to our digital society as we know it. These forgeries can be created automatically and on a large scale based on publicly available technology. Recognizing this challenge, academics and practitioners…

Recent advances in Generative AI (GenAI) have led to significant improvements in the quality of generated visual content. As AI-generated visual content becomes increasingly indistinguishable from real content, the challenge of detecting…

计算机视觉与模式识别 · 计算机科学 2025-07-18 Keerthi Veeramachaneni , Praveen Tirupattur , Amrit Singh Bedi , Mubarak Shah

Following the recent initiatives for the democratization of AI, deep fake generators have become increasingly popular and accessible, causing dystopian scenarios towards social erosion of trust. A particular domain, such as biological…

计算机视觉与模式识别 · 计算机科学 2021-05-21 Ilke Demir , Umur A. Ciftci

As AI-powered image generation improves, a key question is how well human beings can differentiate between "real" and AI-generated or modified images. Using data collected from the online game "Real or Not Quiz.", this study investigates…

With the rapid development of AI-generated content (AIGC), the creation of high-quality AI-generated videos has become faster and easier, resulting in the Internet being flooded with all kinds of video content. However, the impact of these…

信息检索 · 计算机科学 2025-07-30 Haowen Gao , Liang Pang , Shicheng Xu , Leigang Qu , Tat-Seng Chua , Huawei Shen , Xueqi Cheng

One of the current principal defenses against weaponized synthetic media continues to be the ability of the targeted individual to visually or auditorily recognize AI-generated content when they encounter it. However, as the realism of…

人机交互 · 计算机科学 2026-04-06 Di Cooke , Abigail Edwards , Sophia Barkoff , Kathryn Kelly

The emergence of contemporary deepfakes has attracted significant attention in machine learning research, as artificial intelligence (AI) generated synthetic media increases the incidence of misinterpretation and is difficult to distinguish…

计算机视觉与模式识别 · 计算机科学 2024-11-12 Ammarah Hashmi , Sahibzada Adil Shahzad , Chia-Wen Lin , Yu Tsao , Hsin-Min Wang

By comparing biological and artificial perception through the lens of illusions, we highlight critical differences in how each system constructs visual reality. Understanding these divergences can inform the development of more robust,…

计算机视觉与模式识别 · 计算机科学 2025-08-19 Jianyi Yang , Junyi Ye , Ankan Dash , Guiling Wang

Creating high-quality and realistic images is now possible thanks to the impressive advancements in image generation. A description in natural language of your desired output is all you need to obtain breathtaking results. However, as the…

计算机视觉与模式识别 · 计算机科学 2024-03-15 Giuseppe Cartella , Vittorio Cuculo , Marcella Cornia , Rita Cucchiara

The widespread use of generative AI has led to multiple applications of AI-generated text and media to potentially enhance learning outcomes. However, there are a limited number of well-designed experimental studies investigating the impact…

人机交互 · 计算机科学 2024-12-17 Zoe Ruo-Yu Li , Caswell Barry , Mutlu Cukurova

AI-based image generation has continued to rapidly improve, producing increasingly more realistic images with fewer obvious visual flaws. AI-generated images are being used to create fake online profiles which in turn are being used for…

计算机视觉与模式识别 · 计算机科学 2024-04-08 Gonzalo J. Aniano Porcile , Jack Gindi , Shivansh Mundra , James R. Verbus , Hany Farid

The advent of AI has influenced many aspects of human life, from self-driving cars and intelligent chatbots to text-based image and video generation models capable of creating realistic images and videos based on user prompts…

计算机视觉与模式识别 · 计算机科学 2024-10-22 Abhijay Ghildyal , Yuanhan Chen , Saman Zadtootaghaj , Nabajeet Barman , Alan C. Bovik

As generative artificial intelligence (AI) continues its ballistic trajectory, everything from text to audio, image, and video generation continues to improve at mimicking human-generated content. Through a series of perceptual studies, we…

人机交互 · 计算机科学 2025-04-02 Sarah Barrington , Emily A. Cooper , Hany Farid

This paper explores the transformative impact of artificial intelligence (AI) on visual culture and its broader implications for contemporary society. The proliferation of machine learning models in generating visual content necessitates a…

计算机与社会 · 计算机科学 2026-03-17 Mustapha El Moussaoui

AI-based tools that mediate, enhance or generate parts of video communication may interfere with how people evaluate trustworthiness and credibility. In two preregistered online experiments (N = 2,000), we examined whether AI-mediated video…

人机交互 · 计算机科学 2026-03-20 Nelson Navajas Fernández , Jeffrey T. Hancock , Maurice Jakesch

Recent advances in generative AI have led to the development of techniques to generate visually realistic synthetic video. While a number of techniques have been developed to detect AI-generated synthetic images, in this paper we show that…

计算机视觉与模式识别 · 计算机科学 2024-04-25 Danial Samadi Vahdati , Tai D. Nguyen , Aref Azizpour , Matthew C. Stamm
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