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Related papers: Multi-Object Advertisement Creative Generation

200 papers

In this paper, we examine the visual variability of objects across different ad categories, i.e. what causes an advertisement to be visually persuasive. We focus on modeling and generating faces which appear to come from different types of…

Computer Vision and Pattern Recognition · Computer Science 2018-07-27 Christopher Thomas , Adriana Kovashka

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

The benefit claims of a product is a critical driver of consumers' purchase behavior. Creating product claims is an intense task that requires substantial time and funding. We have developed the $\textbf{Claim Advisor}$ web application to…

Artificial Intelligence · Computer Science 2025-09-29 Po-Yu Liang , Yong Zhang , Tatiana Hwa , Aaron Byers

Visual blends combine elements from two distinct visual concepts into a single, integrated image, with the goal of conveying ideas through imaginative and often thought-provoking visuals. Communicating abstract concepts through visual…

Human-Computer Interaction · Computer Science 2025-02-25 Zhida Sun , Zhenyao Zhang , Yue Zhang , Min Lu , Dani Lischinski , Daniel Cohen-Or , Hui Huang

Generative design, an AI-assisted technology for optimizing design through algorithmic processes, is propelling advancements across numerous fields. As the use of immersive environments such as Augmented Reality (AR) continues to rise,…

Human-Computer Interaction · Computer Science 2025-03-28 Sora Kang , Kaiwen Yu , Xinyi Zhou , Joonhwan Lee

Traditional 3D modeling requires technical expertise, specialized software, and time-intensive processes, making it inaccessible for many users. Our research aims to lower these barriers by combining generative AI and augmented reality (AR)…

Graphics · Computer Science 2025-05-01 Majid Behravan , Maryam Haghani , Denis Gracanin

Narrative-driven product photography has become a prevalent paradigm in modern marketing, as coherent visual storytelling helps convey product value and establishes emotional engagement with consumers. However, existing image generation…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Minyan Luo , Yuxin Zhang , Yifei Li , Xincan Wang , Fuzhang Wu , Tong-Yee Lee , Oliver Deussen , Weiming Dong

We present a novel framework to advance generative artificial intelligence (AI) applications in the realm of printed art products, specifically addressing large-format products that require high-resolution artworks. The framework consists…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Noah Pursell , Anindya Maiti

Image generation today can produce somewhat realistic images from text prompts. However, if one asks the generator to synthesize a specific camera setting such as creating different fields of view using a 24mm lens versus a 70mm lens, the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Yu Yuan , Xijun Wang , Yichen Sheng , Prateek Chennuri , Xingguang Zhang , Stanley Chan

Propelled by their remarkable capabilities to generate novel and engaging content, Generative Artificial Intelligence (GenAI) technologies are disrupting traditional workflows in many industries. While prior research has examined GenAI from…

Human-Computer Interaction · Computer Science 2024-04-08 Yuan Sun , Eunchae Jang , Fenglong Ma , Ting Wang

As generative AI (GenAI) increasingly permeates design workflows, its impact on design outcomes and designers' creative capabilities warrants investigation. We conducted a within-subjects experiment where we asked participants to design…

Human-Computer Interaction · Computer Science 2024-11-04 Yue Fu , Han Bin , Tony Zhou , Marx Wang , Yixin Chen , Zelia Gomes Da Costa Lai , Jacob O. Wobbrock , Alexis Hiniker

Consider a movie studio aiming to produce a set of new movies for summer release: What types of movies it should produce? Who would the movies appeal to? How many movies should it make? Similar issues are encountered by a variety of…

Information Retrieval · Computer Science 2018-08-06 Vinh Vo Thanh , Harold Soh

Recent text-to-image diffusion models are able to learn and synthesize images containing novel, personalized concepts (e.g., their own pets or specific items) with just a few examples for training. This paper tackles two interconnected…

Computer Vision and Pattern Recognition · Computer Science 2024-02-26 Chun-Hsiao Yeh , Ta-Ying Cheng , He-Yen Hsieh , Chuan-En Lin , Yi Ma , Andrew Markham , Niki Trigoni , H. T. Kung , Yubei Chen

The use of Generative AI (GenAI) for creative content generation has gained popularity in recent years. GenAI allows creators to generate contents that are increasingly becoming indistinguishable to the human--generated counter--part at a…

Computers and Society · Computer Science 2026-04-09 Wee Chaimanowong

In the e-commerce realm, compelling advertising images are pivotal for attracting customer attention. While generative models automate image generation, they often produce substandard images that may mislead customers and require…

Computer Vision and Pattern Recognition · Computer Science 2024-08-02 Zhenbang Du , Wei Feng , Haohan Wang , Yaoyu Li , Jingsen Wang , Jian Li , Zheng Zhang , Jingjing Lv , Xin Zhu , Junsheng Jin , Junjie Shen , Zhangang Lin , Jingping Shao

To address the challenge of information overload from massive web contents, recommender systems are widely applied to retrieve and present personalized results for users. However, recommendation tasks are inherently constrained to filtering…

Artificial Intelligence · Computer Science 2025-06-04 Jiongnan Liu , Zhicheng Dou , Ning Hu , Chenyan Xiong

Graphic design plays a crucial role in both commercial and personal contexts, yet creating high-quality, editable, and aesthetically pleasing graphic compositions remains a time-consuming and skill-intensive task, especially for beginners.…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Zhao Zhang , Yutao Cheng , Dexiang Hong , Maoke Yang , Gonglei Shi , Lei Ma , Hui Zhang , Jie Shao , Xinglong Wu

Recent advancements in generative models have significantly facilitated the development of personalized content creation. Given a small set of images with user-specific concept, personalized image generation allows to create images that…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Yuxiang Wei , Yiheng Zheng , Yabo Zhang , Ming Liu , Zhilong Ji , Lei Zhang , Wangmeng Zuo

The significant progress on Generative Adversarial Networks (GANs) has facilitated realistic single-object image generation based on language input. However, complex-scene generation (with various interactions among multiple objects) still…

Computer Vision and Pattern Recognition · Computer Science 2021-04-02 Tianyu Hua , Hongdong Zheng , Yalong Bai , Wei Zhang , Xiao-Ping Zhang , Tao Mei

Generative AI (GenAI) is rapidly advancing the field of Autonomous Driving (AD), extending beyond traditional applications in text, image, and video generation. We explore how generative models can enhance automotive tasks, such as static…