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Video is a powerful medium for communication and storytelling, yet reauthoring existing footage remains challenging. Even simple edits often demand expertise, time, and careful planning, constraining how creators envision and shape their…

Human-Computer Interaction · Computer Science 2026-04-07 Sitong Wang , Anh Truong , Lydia B. Chilton , Dingzeyu Li

We introduce $\textit{InteractiveVideo}$, a user-centric framework for video generation. Different from traditional generative approaches that operate based on user-provided images or text, our framework is designed for dynamic interaction,…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Yiyuan Zhang , Yuhao Kang , Zhixin Zhang , Xiaohan Ding , Sanyuan Zhao , Xiangyu Yue

Voice dictation is increasingly used for text entry, especially in mobile scenarios. However, the speech-based experience gets disrupted when users must go back to a screen and keyboard to review and edit the text. While existing dictation…

Human-Computer Interaction · Computer Science 2024-03-12 Can Liu , Siying Hu , Li Feng , Mingming Fan

While generative models such as text-to-image, large language models and text-to-video have seen significant progress, the extension to text-to-virtual-reality remains largely unexplored, due to a deficit in training data and the complexity…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Vriksha Srihari , R. Bhavya , Shruti Jayaraman , V. Mary Anita Rajam

Creating a vivid video from the event or scenario in our imagination is a truly fascinating experience. Recent advancements in text-to-video synthesis have unveiled the potential to achieve this with prompts only. While text is convenient…

Computer Vision and Pattern Recognition · Computer Science 2023-06-02 Jinbo Xing , Menghan Xia , Yuxin Liu , Yuechen Zhang , Yong Zhang , Yingqing He , Hanyuan Liu , Haoxin Chen , Xiaodong Cun , Xintao Wang , Ying Shan , Tien-Tsin Wong

We present Phenaki, a model capable of realistic video synthesis, given a sequence of textual prompts. Generating videos from text is particularly challenging due to the computational cost, limited quantities of high quality text-video data…

Computer Vision and Pattern Recognition · Computer Science 2022-10-06 Ruben Villegas , Mohammad Babaeizadeh , Pieter-Jan Kindermans , Hernan Moraldo , Han Zhang , Mohammad Taghi Saffar , Santiago Castro , Julius Kunze , Dumitru Erhan

The dissemination of scholarly research is critical, yet researchers often lack the time and skills to create engaging content for popular media such as short-form videos. To address this gap, we explore the use of generative AI to help…

Human-Computer Interaction · Computer Science 2026-01-27 Meziah Ruby Cristobal , Hyeonjeong Byeon , Tze-Yu Chen , Ruoxi Shang , Donghoon Shin , Ruican Zhong , Tony Zhou , Gary Hsieh

Storytelling is an integral part of human culture and significantly impacts cognitive and socio-emotional development and connection. Despite the importance of interactive visual storytelling, the process of creating such content requires…

Human-Computer Interaction · Computer Science 2024-06-04 Victor Nikhil Antony , Chien-Ming Huang

Generating videos from text has proven to be a significant challenge for existing generative models. We tackle this problem by training a conditional generative model to extract both static and dynamic information from text. This is…

Multimedia · Computer Science 2017-10-03 Yitong Li , Martin Renqiang Min , Dinghan Shen , David Carlson , Lawrence Carin

With the advance of deep learning technology, automatic video generation from audio or text has become an emerging and promising research topic. In this paper, we present a novel approach to synthesize video from the text. The method builds…

Computer Vision and Pattern Recognition · Computer Science 2022-01-25 Sibo Zhang , Jiahong Yuan , Miao Liao , Liangjun Zhang

Video generation is a challenging yet pivotal task in various industries, such as gaming, e-commerce, and advertising. One significant unresolved aspect within T2V is the effective visualization of text within generated videos. Despite the…

Computer Vision and Pattern Recognition · Computer Science 2024-06-26 Lin Liu , Quande Liu , Shengju Qian , Yuan Zhou , Wengang Zhou , Houqiang Li , Lingxi Xie , Qi Tian

Text-to-image generation models have grown in popularity due to their ability to produce high-quality images from a text prompt. One use for this technology is to enable the creation of more accessible art creation software. In this paper,…

Human-Computer Interaction · Computer Science 2023-09-06 Atieh Taheri , Mohammad Izadi , Gururaj Shriram , Negar Rostamzadeh , Shaun Kane

Scriptwriting has traditionally been text-centric, a modality that only partially conveys the produced audiovisual experience. A formative study with professional writers informed us that connecting textual and audiovisual modalities can…

Human-Computer Interaction · Computer Science 2026-04-09 Zhecheng Wang , Jiaju Ma , Eitan Grinspun , Tovi Grossman , Bryan Wang

Generating videos from text is a challenging task due to its high computational requirements for training and infinite possible answers for evaluation. Existing works typically experiment on simple or small datasets, where the…

Computer Vision and Pattern Recognition · Computer Science 2021-05-03 Chenfei Wu , Lun Huang , Qianxi Zhang , Binyang Li , Lei Ji , Fan Yang , Guillermo Sapiro , Nan Duan

We propose Make-A-Video -- an approach for directly translating the tremendous recent progress in Text-to-Image (T2I) generation to Text-to-Video (T2V). Our intuition is simple: learn what the world looks like and how it is described from…

Computer Vision and Pattern Recognition · Computer Science 2022-09-30 Uriel Singer , Adam Polyak , Thomas Hayes , Xi Yin , Jie An , Songyang Zhang , Qiyuan Hu , Harry Yang , Oron Ashual , Oran Gafni , Devi Parikh , Sonal Gupta , Yaniv Taigman

Storyboarding is an established method for designing user experiences. Generative AI can support this process by helping designers quickly create visual narratives. However, existing tools only focus on accurate text-to-image generation.…

Human-Computer Interaction · Computer Science 2024-07-11 Zhaohui Liang , Xiaoyu Zhang , Kevin Ma , Zhao Liu , Xipei Ren , Kosa Goucher-Lambert , Can Liu

Users interact with text, image, code, or other editors on a daily basis. However, machine learning models are rarely trained in the settings that reflect the interactivity between users and their editor. This is understandable as training…

Computation and Language · Computer Science 2023-11-14 Felix Faltings , Michel Galley , Baolin Peng , Kianté Brantley , Weixin Cai , Yizhe Zhang , Jianfeng Gao , Bill Dolan

Text-to-video generation task has witnessed a notable progress, with the generated outcomes reflecting the text prompts with high fidelity and impressive visual qualities. However, current text-to-video generation models are invariably…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Andrew Shin , Yusuke Mori , Kunitake Kaneko

Text animation serves as an expressive medium, transforming static communication into dynamic experiences by infusing words with motion to evoke emotions, emphasize meanings, and construct compelling narratives. Crafting animations that are…

Computer Vision and Pattern Recognition · Computer Science 2024-11-06 Zichen Liu , Yihao Meng , Hao Ouyang , Yue Yu , Bolin Zhao , Daniel Cohen-Or , Huamin Qu

We present a node-based storytelling system for multimodal content generation. The system represents stories as graphs of nodes that can be expanded, edited, and iteratively refined through direct user edits and natural-language prompts.…

Human-Computer Interaction · Computer Science 2025-11-07 Alexander Htet Kyaw , Lenin Ravindranath Sivalingam
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