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Existing person video generation methods either lack the flexibility in controlling both the appearance and motion, or fail to preserve detailed appearance and temporal consistency. In this paper, we tackle the problem of motion transfer…

Computer Vision and Pattern Recognition · Computer Science 2019-08-13 Kun Cheng , Hao-Zhi Huang , Chun Yuan , Lingyiqing Zhou , Wei Liu

Human video generation is a dynamic and rapidly evolving task that aims to synthesize 2D human body video sequences with generative models given control conditions such as text, audio, and pose. With the potential for wide-ranging…

Computer Vision and Pattern Recognition · Computer Science 2024-07-12 Wentao Lei , Jinting Wang , Fengji Ma , Guanjie Huang , Li Liu

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

Video generation has drawn significant interest recently, pushing the development of large-scale models capable of producing realistic videos with coherent motion. Due to memory constraints, these models typically generate short video…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Idan Kligvasser , Regev Cohen , George Leifman , Ehud Rivlin , Michael Elad

The increase in use of online educational tools has led to a large amount of educational video materials made available for students. Finding the right video content is usually supported by the overarching learning management system and its…

Multimedia · Computer Science 2022-07-27 Hyowon Lee , Mingming Liu , Michael Scriney , Alan F. Smeaton

Dancing video retargeting aims to synthesize a video that transfers the dance movements from a source video to a target person. Previous work need collect a several-minute-long video of a target person with thousands of frames to train a…

Computer Vision and Pattern Recognition · Computer Science 2022-01-14 Yuying Ge , Yibing Song , Ruimao Zhang , Ping Luo

The production of media content has undergone tremendous changes in recent years. Multiple daily content updates are just as common for some platforms as is processing the provided content specifically for their target audiences. Such…

Multimedia · Computer Science 2024-07-30 Alexander Weller , Werner Bleisteiner , Christian Hufnagel , Michael Iber

As the micro-video apps become popular, the numbers of micro-videos and users increase rapidly, which highlights the importance of micro-video recommendation. Although the micro-video recommendation can be naturally treated as the…

Information Retrieval · Computer Science 2022-08-11 Yisong Yu , Beihong Jin , Jiageng Song , Beibei Li , Yiyuan Zheng , Wei Zhu

In the light of exponentially increasing video content, video summarization has attracted a lot of attention recently due to its ability to optimize time and storage. Characteristics of a good summary of a video depend on the particular…

Computer Vision and Pattern Recognition · Computer Science 2018-12-31 Vishal Kaushal , Sandeep Subramanian , Suraj Kothawade , Rishabh Iyer , Ganesh Ramakrishnan

The commercialization of Virtual Reality (VR) headsets has made immersive and 360-degree video streaming the subject of intense interest in the industry and research communities. While the basic principles of video streaming are the same,…

Multimedia · Computer Science 2021-02-17 Federico Chiariotti

With ever increasing computing power and data storage capacity, the potential for large digital video libraries is growing rapidly.However, the massive use of video for the moment is limited by its opaque characteristics. Indeed, a user who…

Computer Vision and Pattern Recognition · Computer Science 2014-12-16 Walid Mahdi , Liming Chen , Mohsen Ardebilian

Image animation has become a promising area in multimodal research, with a focus on generating videos from reference images. While prior work has largely emphasized generic video generation guided by text, music-driven dance video…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Zhikang Dong , Weituo Hao , Ju-Chiang Wang , Peng Zhang , Pawel Polak

In this work, we present a novel approach for motion customization in video generation, addressing the widespread gap in the exploration of motion representation within video generative models. Recognizing the unique challenges posed by the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-18 Luozhou Wang , Ziyang Mai , Guibao Shen , Yixun Liang , Xin Tao , Pengfei Wan , Di Zhang , Yijun Li , Yingcong Chen

The demand for producing short-form videos for sharing on social media platforms has experienced significant growth in recent times. Despite notable advancements in the fields of video summarization and highlight detection, which can create…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Yongliang Wu , Wenbo Zhu , Jiawang Cao , Yi Lu , Bozheng Li , Weiheng Chi , Zihan Qiu , Lirian Su , Haolin Zheng , Jay Wu , Xu Yang

Humans share a strong tendency to memorize/forget some of the visual information they encounter. This paper focuses on providing computational models for the prediction of the intrinsic memorability of visual content. To address this new…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Romain Cohendet , Claire-Hélène Demarty , Ngoc Q. K. Duong , Martin Engilberge

Quickly understanding lengthy lecture videos is essential for learners with limited time and interest in various topics to improve their learning efficiency. To this end, video summarization has been actively researched to enable users to…

Computer Vision and Pattern Recognition · Computer Science 2024-03-27 Kazuki Kawamura , Jun Rekimoto

The increasing importance of videos as a medium for engagement, communication, and content creation makes them critical for organizations to consider for user feedback. However, sifting through vast amounts of video content on social media…

Human-Computer Interaction · Computer Science 2023-07-26 Manish Sihag , Ze Shi Li , Amanda Dash , Nowshin Nawar Arony , Kezia Devathasan , Neil Ernst , Alexandra Albu , Daniela Damian

Existing deep video models are limited by specific tasks, fixed input-output spaces, and poor generalization capabilities, making it difficult to deploy them in real-world scenarios. In this paper, we present our vision for multimodal and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Junke Wang , Dongdong Chen , Chong Luo , Xiyang Dai , Lu Yuan , Zuxuan Wu , Yu-Gang Jiang

Short-form videos have become a primary medium for digital advertising, requiring scalable and efficient content creation. However, current workflows and AI tools remain disjoint and modality-specific, leading to high production costs and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Milton Zhou , Sizhong Qin , Yongzhi Li , Quan Chen , Peng Jiang

Streaming 360{\deg} videos requires more bandwidth than non-360{\deg} videos. This is because current solutions assume that users perceive the quality of 360{\deg} videos in the same way they perceive the quality of non-360{\deg} videos.…

Multimedia · Computer Science 2019-11-12 Yu Guan , Chengyuan Zheng , Zongming Guo , Xinggong Zhang , Junchen Jiang
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