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Generative AI is reshaping art, gaming, and most notably animation. Recent breakthroughs in foundation and diffusion models have reduced the time and cost of producing animated content. Characters are central animation components, involving…

The rise of generative models has driven significant advancements in recommender systems, leaving unique opportunities for enhancing users' personalized recommendations. This workshop serves as a platform for researchers to explore and…

Information Retrieval · Computer Science 2024-03-08 Wenjie Wang , Yang Zhang , Xinyu Lin , Fuli Feng , Weiwen Liu , Yong Liu , Xiangyu Zhao , Wayne Xin Zhao , Yang Song , Xiangnan He

Customized text-to-video generation aims to generate high-quality videos guided by text prompts and subject references. Current approaches for personalizing text-to-video generation suffer from tackling multiple subjects, which is a more…

Computer Vision and Pattern Recognition · Computer Science 2025-10-29 Zhao Wang , Aoxue Li , Lingting Zhu , Yong Guo , Qi Dou , Zhenguo Li

In recent years, the role of image generative models in facial reenactment has been steadily increasing. Such models are usually subject-agnostic and trained on domain-wide datasets. The appearance of the reenacted individual is learned…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Ariel Elazary , Yotam Nitzan , Daniel Cohen-Or

Generative image modeling techniques such as GAN demonstrate highly convincing image generation result. However, user interaction is often necessary to obtain the desired results. Existing attempts add interactivity but require either…

Graphics · Computer Science 2020-09-01 Toby Chong Long Hin , I-Chao Shen , Issei Sato , Takeo Igarashi

Conversational recommender systems have attracted immense attention recently. The most recent approaches rely on neural models trained on recorded dialogs between humans, implementing an end-to-end learning process. These systems are…

Information Retrieval · Computer Science 2022-05-26 Ahtsham Manzoor , Dietmar Jannach

Customized generative text-to-image models have the ability to produce images that closely resemble a given subject. However, in the context of generating advertising images for e-commerce scenarios, it is crucial that the generated…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Youze Xue , Binghui Chen , Yifeng Geng , Xuansong Xie , Jiansheng Chen , Hongbing Ma

An image may convey a thousand words, but a video composed of hundreds or thousands of image frames tells a more intricate story. Despite significant progress in multimodal large language models (MLLMs), generating extended videos remains a…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Faraz Waseem , Muhammad Shahzad

Due to the emergence of Generative Adversarial Networks, video synthesis has witnessed exceptional breakthroughs. However, existing methods lack a proper representation to explicitly control the dynamics in videos. Human pose, on the other…

Computer Vision and Pattern Recognition · Computer Science 2018-07-31 Ceyuan Yang , Zhe Wang , Xinge Zhu , Chen Huang , Jianping Shi , Dahua Lin

Modern game development faces significant challenges in creativity and cost due to predetermined content in traditional game engines. Recent breakthroughs in video generation models, capable of synthesizing realistic and interactive virtual…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Jiwen Yu , Yiran Qin , Haoxuan Che , Quande Liu , Xintao Wang , Pengfei Wan , Di Zhang , Xihui Liu

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

Conversational recommender systems aim to provide personalized recommendations via natural language interactions. However, existing approaches either decouple recommendation from dialog generation or rely on retrieval-based pipelines,…

Information Retrieval · Computer Science 2026-05-22 Sixiao Zhang , Mingrui Liu , Cheng Long

As families face increasingly complex safety challenges in digital and physical environments, generative AI (GenAI) presents new opportunities to support household safety through multiple specialized AI agents. Through a two-phase…

Human-Computer Interaction · Computer Science 2025-08-29 Zikai Wen , Lanjing Liu , Yaxing Yao

While often assumed a gold standard, effective human evaluation of text generation remains an important, open area for research. We revisit this problem with a focus on producing consistent evaluations that are reproducible -- over time and…

Computation and Language · Computer Science 2022-11-02 Daniel Khashabi , Gabriel Stanovsky , Jonathan Bragg , Nicholas Lourie , Jungo Kasai , Yejin Choi , Noah A. Smith , Daniel S. Weld

Generative AI (GenAI) tools enhance social media video creation by streamlining tasks such as scriptwriting, visual and audio generation, and editing. These tools enable the creation of new content, including text, images, audio, and video,…

Human-Computer Interaction · Computer Science 2025-03-06 Torin Anderson , Shuo Niu

Traditional Celluloid (Cel) Animation production pipeline encompasses multiple essential steps, including storyboarding, layout design, keyframe animation, inbetweening, and colorization, which demand substantial manual effort, technical…

We present "Narrative Weaver", a novel framework that addresses a fundamental challenge in generative AI: achieving multi-modal controllable, long-range, and consistent visual content generation. While existing models excel at generating…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Zhengjian Yao , Yongzhi Li , Xinyuan Gao , Quan Chen , Peng Jiang , Yanye Lu

Generating 3D models lies at the core of computer graphics and has been the focus of decades of research. With the emergence of advanced neural representations and generative models, the field of 3D content generation is developing rapidly,…

Computer Vision and Pattern Recognition · Computer Science 2024-02-01 Xiaoyu Li , Qi Zhang , Di Kang , Weihao Cheng , Yiming Gao , Jingbo Zhang , Zhihao Liang , Jing Liao , Yan-Pei Cao , Ying Shan

This paper offers an insightful examination of how currently top-trending AI technologies, i.e., generative artificial intelligence (Generative AI) and large language models (LLMs), are reshaping the field of video technology, including…

Computer Vision and Pattern Recognition · Computer Science 2024-04-26 Pengyuan Zhou , Lin Wang , Zhi Liu , Yanbin Hao , Pan Hui , Sasu Tarkoma , Jussi Kangasharju

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…