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Related papers: AI-Empowered Persuasive Video Generation: A Survey

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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…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Xiao Liu , Xinhao Xiang , Zizhong Li , Yongheng Wang , Zhuoheng Li , Zhuosheng Liu , Weidi Zhang , Weiqi Ye , Jiawei Zhang

Video contents have become a critical tool for promoting products in E-commerce. However, the lack of automatic promotional video generation solutions makes large-scale video-based promotion campaigns infeasible. The first step of…

Multimedia · Computer Science 2021-03-31 Chang Liu , Yi Dong , Han Yu , Zhiqi Shen , Zhanning Gao , Pan Wang , Changgong Zhang , Peiran Ren , Xuansong Xie , Lizhen Cui , Chunyan Miao

Persuasion is a fundamental aspect of communication, influencing decision-making across diverse contexts, from everyday conversations to high-stakes scenarios such as politics, marketing, and law. The rise of conversational AI systems has…

Computation and Language · Computer Science 2026-03-24 Nimet Beyza Bozdag , Shuhaib Mehri , Xiaocheng Yang , Hyeonjeong Ha , Zirui Cheng , Esin Durmus , Jiaxuan You , Heng Ji , Gokhan Tur , Dilek Hakkani-Tür

Visual persuasion, which uses visual elements to influence cognition and behaviors, is crucial in fields such as advertising and political communication. With recent advancements in artificial intelligence, there is growing potential to…

Computation and Language · Computer Science 2025-10-29 Junseo Kim , Jongwook Han , Dongmin Choi , Jongwook Yoon , Eun-Ju Lee , Yohan Jo

The recent wave of AI-generated content (AIGC) has witnessed substantial success in computer vision, with the diffusion model playing a crucial role in this achievement. Due to their impressive generative capabilities, diffusion models are…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Zhen Xing , Qijun Feng , Haoran Chen , Qi Dai , Han Hu , Hang Xu , Zuxuan Wu , Yu-Gang Jiang

With the rapid development of AI-generated content (AIGC), video generation has emerged as one of its most dynamic and impactful subfields. In particular, the advancement of video generation foundation models has led to growing demand for…

Persuasion is a key aspect of what it means to be human, and is central to business, politics, and other endeavors. Advancements in artificial intelligence (AI) have produced AI systems that are capable of persuading humans to buy products,…

Computers and Society · Computer Science 2023-03-16 Matthew Burtell , Thomas Woodside

The development of AI-Generated Video (AIGV) technology has been remarkable in recent years, significantly transforming the paradigm of video content production. However, AIGVs still suffer from noticeable visual quality defects, such as…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Zelu Qi , Ping Shi , Chaoyang Zhang , Shuqi Wang , Fei Zhao , Da Pan , Zefeng Ying

Text-to-video generation has trailed behind text-to-image generation in terms of quality and diversity, primarily due to the inherent complexities of spatio-temporal modeling and the limited availability of video-text datasets. Recent…

Computer Vision and Pattern Recognition · Computer Science 2024-10-04 Xiefan Guo , Jinlin Liu , Miaomiao Cui , Liefeng Bo , Di Huang

Understanding and conversing about dynamic scenes is one of the key capabilities of AI agents that navigate the environment and convey useful information to humans. Video question answering is a specific scenario of such AI-human…

Computation and Language · Computer Science 2019-08-01 Guan-Lin Chao , Abhinav Rastogi , Semih Yavuz , Dilek Hakkani-Tür , Jindong Chen , Ian Lane

This paper introduces the unsupervised learning problem of playable video generation (PVG). In PVG, we aim at allowing a user to control the generated video by selecting a discrete action at every time step as when playing a video game. The…

Computer Vision and Pattern Recognition · Computer Science 2021-01-29 Willi Menapace , Stéphane Lathuilière , Sergey Tulyakov , Aliaksandr Siarohin , Elisa Ricci

Interactive Generative Video (IGV) has emerged as a crucial technology in response to the growing demand for high-quality, interactive video content across various domains. In this paper, we define IGV as a technology that combines…

Computer Vision and Pattern Recognition · Computer Science 2025-05-01 Jiwen Yu , Yiran Qin , Haoxuan Che , Quande Liu , Xintao Wang , Pengfei Wan , Di Zhang , Kun Gai , Hao Chen , Xihui Liu

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…

Information Retrieval · Computer Science 2025-07-30 Haowen Gao , Liang Pang , Shicheng Xu , Leigang Qu , Tat-Seng Chua , Huawei Shen , Xueqi Cheng

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…

Computer Vision and Pattern Recognition · Computer Science 2025-07-18 Keerthi Veeramachaneni , Praveen Tirupattur , Amrit Singh Bedi , Mubarak Shah

Text-to-Image and Text-to-Video AI generation models are revolutionary technologies that use deep learning and natural language processing (NLP) techniques to create images and videos from textual descriptions. This paper investigates…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Aditi Singh

Recent advances in AI-generated content (AIGC) have led to the emergence of powerful text-to-video generation models. Despite these successes, evaluating the quality of AIGC-generated videos remains challenging due to limited…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Xuanyu Zhang , Weiqi Li , Shijie Zhao , Junlin Li , Li Zhang , Jian Zhang

Artificial Intelligence Generated Content (AIGC) is leading a new technical revolution for the acquisition of digital content and impelling the progress of visual compression towards competitive performance gains and diverse functionalities…

Computer Vision and Pattern Recognition · Computer Science 2024-02-07 Bolin Chen , Shanzhi Yin , Peilin Chen , Shiqi Wang , Yan Ye

Advances in technology have led to the development of methods that can create desired visual multimedia. In particular, image generation using deep learning has been extensively studied across diverse fields. In comparison, video…

Computer Vision and Pattern Recognition · Computer Science 2021-06-29 Doyeon Kim , Donggyu Joo , Junmo Kim

We propose a new task named Audio-driven Per-formance Video Generation (APVG), which aims to synthesizethe video of a person playing a certain instrument guided bya given music audio clip. It is a challenging task to gener-ate the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-06 Hao Zhu , Yi Li , Feixia Zhu , Aihua Zheng , Ran He

Recent advancements in AI-based multimedia generation have enabled the creation of hyper-realistic images and videos, raising concerns about their potential use in spreading misinformation. The widespread accessibility of generative…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Joy Battocchio , Stefano Dell'Anna , Andrea Montibeller , Giulia Boato
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