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Related papers: OneStory: Coherent Multi-Shot Video Generation wit…

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Visual storytelling requires generating multi-shot videos with cinematic quality and long-range consistency. Inspired by human memory, we propose StoryMem, a paradigm that reformulates long-form video storytelling as iterative shot…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Kaiwen Zhang , Liming Jiang , Angtian Wang , Jacob Zhiyuan Fang , Tiancheng Zhi , Qing Yan , Hao Kang , Xin Lu , Xingang Pan

Visual storytelling involves generating a sequence of coherent frames from a textual storyline while maintaining consistency in characters and scenes. Existing autoregressive methods, which rely on previous frame-sentence pairs, struggle…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Sixiao Zheng , Yanwei Fu

Multi-shot video generation is crucial for long narrative storytelling, yet current bidirectional architectures suffer from limited interactivity and high latency. We propose ShotStream, a novel causal multi-shot architecture that enables…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Yawen Luo , Xiaoyu Shi , Junhao Zhuang , Yutian Chen , Quande Liu , Xintao Wang , Pengfei Wan , Tianfan Xue

Generating long-form storytelling videos with consistent visual narratives remains a significant challenge in video synthesis. We present a novel framework, dataset, and a model that address three critical limitations: background…

There has been a recent explosion of impressive generative models that can produce high quality images (or videos) conditioned on text descriptions. However, all such approaches rely on conditional sentences that contain unambiguous…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Tanzila Rahman , Hsin-Ying Lee , Jian Ren , Sergey Tulyakov , Shweta Mahajan , Leonid Sigal

Current video generation techniques excel at single-shot clips but struggle to produce narrative multi-shot videos, which require flexible shot arrangement, coherent narrative, and controllability beyond text prompts. To tackle these…

Computer Vision and Pattern Recognition · Computer Science 2025-12-03 Qinghe Wang , Xiaoyu Shi , Baolu Li , Weikang Bian , Quande Liu , Huchuan Lu , Xintao Wang , Pengfei Wan , Kun Gai , Xu Jia

Audio to Video generation is an interesting problem that has numerous applications across industry verticals including film making, multi-media, marketing, education and others. High-quality video generation with expressive facial movements…

Computer Vision and Pattern Recognition · Computer Science 2020-12-16 Neeraj Kumar , Srishti Goel , Ankur Narang , Mujtaba Hasan

Storyboard synthesis plays a crucial role in visual storytelling, aiming to generate coherent shot sequences that visually narrate cinematic events with consistent characters, scenes, and transitions. However, existing approaches are mostly…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Junjia Huang , Binbin Yang , Pengxiang Yan , Jiyang Liu , Bin Xia , Zhao Wang , Yitong Wang , Liang Lin , Guanbin Li

Long-horizon video generation has advanced in visual quality, yet existing methods still struggle to maintain knowledge consistency and coherent pedagogical narratives across multi-shot instructional videos, especially in STEM domains. To…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Xinyi Wu , Jayant Teotia , Shuai Zhao , Erik Cambria

Recent advances in Video Foundation Models (VFMs) have revolutionized human-centric video synthesis, yet fine-grained and independent editing of subjects and scenes remains a critical challenge. Recent attempts to incorporate richer…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Fengyuan Yang , Luying Huang , Jiazhi Guan , Quanwei Yang , Dongwei Pan , Jianglin Fu , Haocheng Feng , Wei He , Kaisiyuan Wang , Hang Zhou , Angela Yao

While recent advancements in generative models have achieved remarkable visual fidelity in video synthesis, creating coherent multi-shot narratives remains a significant challenge. To address this, keyframe-based approaches have emerged as…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Peixuan Zhang , Zijian Jia , Kaiqi Liu , Shuchen Weng , Si Li , Boxin Shi

Recent advances in video generation can produce realistic, minute-long single-shot videos with scalable diffusion transformers. However, real-world narrative videos require multi-shot scenes with visual and dynamic consistency across shots.…

Computer Vision and Pattern Recognition · Computer Science 2025-03-14 Yuwei Guo , Ceyuan Yang , Ziyan Yang , Zhibei Ma , Zhijie Lin , Zhenheng Yang , Dahua Lin , Lu Jiang

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

Recent video generation models demonstrate impressive synthesis capabilities but remain limited by single-modality conditioning, constraining their holistic world understanding. This stems from insufficient cross-modal interaction and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Jiehui Huang , Yuechen Zhang , Xu He , Yuan Gao , Zhi Cen , Bin Xia , Yan Zhou , Xin Tao , Pengfei Wan , Jiaya Jia

Bridging vision and natural language is a longstanding goal in computer vision and multimedia research. While earlier works focus on generating a single-sentence description for visual content, recent works have studied paragraph…

Multimedia · Computer Science 2020-05-15 Junnan Li , Yongkang Wong , Qi Zhao , Mohan S. Kankanhalli

The "one-shot" technique represents a distinct and sophisticated aesthetic in filmmaking. However, its practical realization is often hindered by prohibitive costs and complex real-world constraints. Although emerging video generation…

Computer Vision and Pattern Recognition · Computer Science 2025-12-29 Jiawei Liu , Junqiao Li , Jiangfan Deng , Gen Li , Siyu Zhou , Zetao Fang , Shanshan Lao , Zengde Deng , Jianing Zhu , Tingting Ma , Jiayi Li , Yunqiu Wang , Qian He , Xinglong Wu

Maintaining consistent characters, props, and environments across multiple shots is a central challenge in narrative video generation. Existing models can produce high-quality short clips but often fail to preserve entity identity and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-08 Jinsong Zhou , Yihua Du , Xinli Xu , Luozhou Wang , Zijie Zhuang , Yehang Zhang , Shuaibo Li , Xiaojun Hu , Bolan Su , Ying-cong Chen

While video foundation models excel at single-shot generation, real-world cinematic storytelling inherently relies on complex multi-shot sequencing. Further progress is constrained by the absence of datasets that address three core…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Haojie Zhang , Di Wu , Bingyan Liu , Linjie Zhong , Yuancheng Wei , Xingsong Ye , Nanqing Liu , Yaling Liang

Video storytelling is engaging multimedia content that utilizes video and its accompanying narration to attract the audience, where a key challenge is creating narrations for recorded visual scenes. Previous studies on dense video…

Multimedia · Computer Science 2024-12-31 Dingyi Yang , Chunru Zhan , Ziheng Wang , Biao Wang , Tiezheng Ge , Bo Zheng , Qin Jin

Multimodal story customization aims to generate coherent story flows conditioned on textual descriptions, reference identity images, and shot types. While recent progress in story generation has shown promising results, most approaches rely…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Wei-Hua Li , Cheng Sun , Chu-Song Chen
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