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This paper explains why scripted dialogue shares some crucial properties with discourse. In particular, when scripted dialogues are generated by a Natural Language Generation system, the generator can apply revision strategies that cannot…

Computation and Language · Computer Science 2007-05-23 Paul Piwek , Kees van Deemter

Despite substantial progress in text-to-video generation, achieving precise and flexible control over fine-grained spatiotemporal attributes remains a significant unresolved challenge in video generation research. To address these…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Xu Zhang , Hao Zhou , Haoming Qin , Xiaobin Lu , Jiaxing Yan , Guanzhong Wang , Zeyu Chen , Yi Liu

Naturally controllable human-scene interaction (HSI) generation has an important role in various fields, such as VR/AR content creation and human-centered AI. However, existing methods are unnatural and unintuitive in their controllability,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-17 Haibiao Xuan , Xiongzheng Li , Jinsong Zhang , Hongwen Zhang , Yebin Liu , Kun Li

Music videos, as a prevalent form of multimedia entertainment, deliver engaging audio-visual experiences to audiences and have gained immense popularity among singers and fans. Creators can express their interpretations of music naturally…

Human-Computer Interaction · Computer Science 2025-04-25 Chuer Chen , Shengqi Dang , Yuqi Liu , Nanxuan Zhao , Yang Shi , Nan Cao

Recent AIGC systems possess the capability to generate digital multimedia content based on human language instructions, such as text, image and video. However, when it comes to speech, existing methods related to human instruction-to-speech…

Sound · Computer Science 2024-08-29 Yixuan Zhou , Xiaoyu Qin , Zeyu Jin , Shuoyi Zhou , Shun Lei , Songtao Zhou , Zhiyong Wu , Jia Jia

Automatically narrating videos in natural language complying with user requests, i.e. Controllable Video Captioning task, can help people manage massive videos with desired intentions. However, existing works suffer from two shortcomings:…

Computer Vision and Pattern Recognition · Computer Science 2024-08-09 Linli Yao , Yuanmeng Zhang , Ziheng Wang , Xinglin Hou , Tiezheng Ge , Yuning Jiang , Xu Sun , Qin Jin

Existing approaches for digital short-drama production typically rely on one-shot LLM generated scripts and loosely coupled pipelines, which fail to satisfy three key requirements of short-drama generation: (1) narrative pacing, resulting…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Yufei Shi , Weilong Yan , Naixuan Huang , Yucheng Chen , Chenyu Zhang , Tao He , Si Yong Yeo , Ming Li

Generating realistic 3D indoor scenes from user inputs remains a challenging problem in computer vision and graphics, requiring careful balance of geometric consistency, spatial relationships, and visual realism. While neural generation…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Mengqi Zhou , Xipeng Wang , Yuxi Wang , Zhaoxiang Zhang

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

Amateurs working on mini-films and short-form videos usually spend lots of time and effort on the multi-round complicated process of setting and adjusting scenes, plots, and cameras to deliver satisfying video shots. We present Virtual…

Graphics · Computer Science 2023-07-25 Anyi Rao , Xuekun Jiang , Yuwei Guo , Linning Xu , Lei Yang , Libiao Jin , Dahua Lin , Bo Dai

Generating long, cohesive video stories with consistent characters is a significant challenge for current text-to-video AI. We introduce a method that approaches video generation in a filmmaker-like manner. Instead of creating a video in…

Computer Vision and Pattern Recognition · Computer Science 2025-12-22 Chayan Jain , Rishant Sharma , Archit Garg , Ishan Bhanuka , Pratik Narang , Dhruv Kumar

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

Visual storytelling aims to generate a narrative paragraph from a sequence of images automatically. Existing approaches construct text description independently for each image and roughly concatenate them as a story, which leads to the…

Computation and Language · Computer Science 2020-11-02 Ruize Wang , Zhongyu Wei , Ying Cheng , Piji Li , Haijun Shan , Ji Zhang , Qi Zhang , Xuanjing Huang

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

The notable gap between user-provided and model-preferred prompts poses a significant challenge for generating high-quality images with text-to-image models, compelling the need for prompt engineering. Current studies on prompt engineering…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Shiyu Wu , Mingzhen Sun , Weining Wang , Yequan Wang , Jing Liu

Large pre-trained neural language models (LM) have very powerful text generation capabilities. However, in practice, they are hard to control for creative purposes. We describe a Plug-and-Play controllable language generation framework,…

Computation and Language · Computer Science 2021-07-29 Zhiyu Lin , Mark Riedl

The knowledge of scripts, common chains of events in stereotypical scenarios, is a valuable asset for task-oriented natural language understanding systems. We propose the Goal-Oriented Script Construction task, where a model produces a…

Computation and Language · Computer Science 2021-09-01 Qing Lyu , Li Zhang , Chris Callison-Burch

Scripts define knowledge about how everyday scenarios (such as going to a restaurant) are expected to unfold. One of the challenges to learning scripts is the hierarchical nature of the knowledge. For example, a suspect arrested might plead…

Computation and Language · Computer Science 2018-08-30 Noah Weber , Leena Shekhar , Niranjan Balasubramanian , Nathanael Chambers

Automatic movie narration aims to generate video-aligned plot descriptions to assist visually impaired audiences. Unlike standard video captioning, it involves not only describing key visual details but also inferring plots that unfold…

Computer Vision and Pattern Recognition · Computer Science 2024-10-21 Zihao Yue , Yepeng Zhang , Ziheng Wang , Qin Jin

The recent innovations and breakthroughs in diffusion models have significantly expanded the possibilities of generating high-quality videos for the given prompts. Most existing works tackle the single-scene scenario with only one video…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Fuchen Long , Zhaofan Qiu , Ting Yao , Tao Mei