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Text-driven video editing enables users to modify video content only using text queries. While existing methods can modify video content if explicit descriptions of editing targets with precise spatial locations and temporal boundaries are…

Computer Vision and Pattern Recognition · Computer Science 2025-11-19 Yiqing Shen , Chenjia Li , Mathias Unberath

Video editing can be a very tedious task, so unsurprisingly Artificial Intelligence has been increasingly used to streamline the workflow or automate away tedious tasks. However, it is very difficult to get an overview of what intelligent…

Human-Computer Interaction · Computer Science 2021-09-17 Than Htut Soe

Despite significant progress in the field, it is still challenging to create personalized visual representations that align closely with the desires and preferences of individual users. This process requires users to articulate their ideas…

Computer Vision and Pattern Recognition · Computer Science 2025-01-03 Zijie Chen , Lichao Zhang , Fangsheng Weng , Lili Pan , Zhenzhong Lan

Generating videos for visual storytelling can be a tedious and complex process that typically requires either live-action filming or graphics animation rendering. To bypass these challenges, our key idea is to utilize the abundance of…

Computer Vision and Pattern Recognition · Computer Science 2023-07-14 Yingqing He , Menghan Xia , Haoxin Chen , Xiaodong Cun , Yuan Gong , Jinbo Xing , Yong Zhang , Xintao Wang , Chao Weng , Ying Shan , Qifeng Chen

Creators struggle to edit long-form, narrative-rich videos not because of UI complexity, but due to the cognitive demands of searching, storyboarding, and sequencing hours of footage. Existing transcript- or embedding-based methods fall…

Artificial Intelligence · Computer Science 2025-09-30 Zihan Ding , Xinyi Wang , Junlong Chen , Per Ola Kristensson , Junxiao Shen

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

Despite significant advancements in video generation and editing using diffusion models, achieving accurate and localized video editing remains a substantial challenge. Additionally, most existing video editing methods primarily focus on…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Chong Mou , Mingdeng Cao , Xintao Wang , Zhaoyang Zhang , Ying Shan , Jian Zhang

Everyone can write their stories in freeform text format -- it's something we all learn in school. Yet storytelling via video requires one to learn specialized and complicated tools. In this paper, we introduce Doki, a text-native interface…

Human-Computer Interaction · Computer Science 2026-03-11 Xingyu Bruce Liu , Mira Dontcheva , Dingzeyu Li

In each step of the creative writing process, writers must grapple with their creative goals and individual perspectives. This process affects the writer's sense of authenticity and their engagement with the written output. Fluent text…

Human-Computer Interaction · Computer Science 2024-05-29 David Zhou , Sarah Sterman

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

In video search systems, user historical behaviors provide rich context for identifying search intent and resolving ambiguity. However, traditional methods utilizing implicit history features often suffer from signal dilution and delayed…

Information Retrieval · Computer Science 2026-04-13 Cheng cheng , Chenxing Wang , Aolin Li , Haijun Wu , Huiyun Hu , Juyuan Wang

Recently, breakthroughs in video modeling have allowed for controllable camera trajectories in generated videos. However, these methods cannot be directly applied to user-provided videos that are not generated by a video model. In this…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 David Junhao Zhang , Roni Paiss , Shiran Zada , Nikhil Karnad , David E. Jacobs , Yael Pritch , Inbar Mosseri , Mike Zheng Shou , Neal Wadhwa , Nataniel Ruiz

Camera control has been actively studied in text or image conditioned video generation tasks. However, altering camera trajectories of a given video remains under-explored, despite its importance in the field of video creation. It is…

Computer Vision and Pattern Recognition · Computer Science 2025-07-10 Jianhong Bai , Menghan Xia , Xiao Fu , Xintao Wang , Lianrui Mu , Jinwen Cao , Zuozhu Liu , Haoji Hu , Xiang Bai , Pengfei Wan , Di Zhang

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

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

Recent advances in generative artificial intelligence (AI) have captured worldwide attention. Tools such as Dalle-2 and ChatGPT suggest that tasks previously thought to be beyond the capabilities of AI may now augment the productivity of…

Computer Vision and Pattern Recognition · Computer Science 2023-05-05 Daniel Leiker , Ashley Ricker Gyllen , Ismail Eldesouky , Mutlu Cukurova

This paper presents a novel framework termed Cut-and-Paste for real-word semantic video editing under the guidance of text prompt and additional reference image. While the text-driven video editing has demonstrated remarkable ability to…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Zhichao Zuo , Zhao Zhang , Yan Luo , Yang Zhao , Haijun Zhang , Yi Yang , Meng Wang

Automatic video editing involving at least the steps of selecting the most valuable footage from points of view of visual quality and the importance of action filmed; and cutting the footage into a brief and coherent visual story that would…

Computer Vision and Pattern Recognition · Computer Science 2019-07-18 Sergey Podlesnyy

Text-guided generative diffusion models unlock powerful image creation and editing tools. While these have been extended to video generation, current approaches that edit the content of existing footage while retaining structure require…

Computer Vision and Pattern Recognition · Computer Science 2023-02-07 Patrick Esser , Johnathan Chiu , Parmida Atighehchian , Jonathan Granskog , Anastasis Germanidis

Research in the Vision and Language area encompasses challenging topics that seek to connect visual and textual information. When the visual information is related to videos, this takes us into Video-Text Research, which includes several…

Computer Vision and Pattern Recognition · Computer Science 2021-12-02 Jesus Perez-Martin , Benjamin Bustos , Silvio Jamil F. Guimarães , Ivan Sipiran , Jorge Pérez , Grethel Coello Said
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