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With the advancement of AIGC (AI-generated content) technologies, an increasing number of generative models are revolutionizing fields such as video editing, music generation, and even film production. However, due to the limitations of…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Daoan Zhang , Wenlin Yao , Xiaoyang Wang , Yebowen Hu , Jiebo Luo , Dong Yu

Capturing an event from multiple camera angles can give a viewer the most complete and interesting picture of that event. To be suitable for broadcasting, a human director needs to decide what to show at each point in time. This can become…

Computer Vision and Pattern Recognition · Computer Science 2022-08-11 Bram Vanherle , Tim Vervoort , Nick Michiels , Philippe Bekaert

Video-to-audio synthesis, which generates synchronized audio for visual content, critically enhances viewer immersion and narrative coherence in film and interactive media. However, video-to-audio dubbing for long-form content remains an…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Yehang Zhang , Xinli Xu , Xiaojie Xu , Li Liu , Yingcong Chen

Video head swapping aims to replace the entire head of a video subject, including facial identity, head shape, and hairstyle, with that of a reference image, while preserving the target body, background, and motion dynamics. Due to the lack…

Computer Vision and Pattern Recognition · Computer Science 2025-12-11 Yanan Wang , Shengcai Liao , Panwen Hu , Xin Li , Fan Yang , Xiaodan Liang

Real-world video creation often involves a complex reasoning workflow of selecting relevant shots from noisy materials, planning missing shots for narrative completeness, and organizing them into coherent storylines. However, existing…

Multimedia · Computer Science 2026-04-20 Huanran Hu , Zihui Ren , Dingyi Yang , Liangyu Chen , Qixiang Gao , Tiezheng Ge , Qin Jin

Recent advancements in generative models have provided promising solutions for synthesizing realistic driving videos, which are crucial for training autonomous driving perception models. However, existing approaches often struggle with…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Wei Wu , Xi Guo , Weixuan Tang , Tingxuan Huang , Chiyu Wang , Dongyue Chen , Chenjing Ding

DIviding RECTangles (DIRECT) is an efficient and popular method in dealing with bound constrained optimization problems. However, DIRECT suffers from dimension curse, since its computational complexity soars when dimension increases.…

Optimization and Control · Mathematics 2018-04-05 Qinghua Tao , Xiaolin Huang , Shuning Wang , Li Li

Generating coherent and diverse human dances from music signals has gained tremendous progress in animating virtual avatars. While existing methods support direct dance synthesis, they fail to recognize that enabling users to edit dance…

Graphics · Computer Science 2025-08-26 Hengyuan Zhang , Zhe Li , Xingqun Qi , Mengze Li , Muyi Sun , Man Zhang , Sirui Han

Recent advances in AI-driven storytelling have enhanced video generation and story visualization. However, translating dialogue-centric scripts into coherent storyboards remains a significant challenge due to limited script detail,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Min Zhang , Zilin Wang , Liyan Chen , Kunhong Liu , Juncong Lin

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

Pedestrian detection models in autonomous driving systems often lack robustness due to insufficient representation of dangerous pedestrian scenarios in training datasets. To address this limitation, we present a novel framework for…

Computer Vision and Pattern Recognition · Computer Science 2025-08-04 Danzhen Fu , Jiagao Hu , Daiguo Zhou , Fei Wang , Zepeng Wang , Wenhua Liao

While text-to-video diffusion models have advanced significantly, creating coherent long-form content remains unreliable due to stochastic sampling artifacts. This necessitates generating multiple candidates, yet verifying them creates a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Daewon Yoon , Hyeongseok Lee , Wonsik Shin , Sangyu Han , Nojun Kwak

By generating plausible and smooth transitions between two image frames, video inbetweening is an essential tool for video editing and long video synthesis. Traditional works lack the capability to generate complex large motions. While…

Computer Vision and Pattern Recognition · Computer Science 2025-01-09 Maham Tanveer , Yang Zhou , Simon Niklaus , Ali Mahdavi Amiri , Hao Zhang , Krishna Kumar Singh , Nanxuan Zhao

Audio Descriptions (ADs) convey essential on-screen information, allowing visually impaired audiences to follow videos. To be effective, ADs must form a coherent sequence that helps listeners to visualise the unfolding scene, rather than…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Eshika Khandelwal , Junyu Xie , Tengda Han , Max Bain , Arsha Nagrani , Andrew Zisserman , Gül Varol , Makarand Tapaswi

Video generation has witnessed remarkable progress with the advent of deep generative models, particularly diffusion models. While existing methods excel in generating high-quality videos from text prompts or single images, personalized…

Computer Vision and Pattern Recognition · Computer Science 2025-03-14 Yufan Deng , Xun Guo , Yizhi Wang , Jacob Zhiyuan Fang , Angtian Wang , Shenghai Yuan , Yiding Yang , Bo Liu , Haibin Huang , Chongyang Ma

The surging demand for adapting long-form cinematic content into short videos has motivated the need for versatile automatic video compilation systems. However, existing compilation methods are limited to predefined tasks, and the community…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Peixuan Zhang , Chang Zhou , Ziyuan Zhang , Hualuo Liu , Chunjie Zhang , Jingqi Liu , Xiaohui Zhou , Xi Chen , Shuchen Weng , Si Li , Boxin Shi

Talking-head video editing aims to efficiently insert, delete, and substitute the word of a pre-recorded video through a text transcript editor. The key challenge for this task is obtaining an editing model that generates new talking-head…

Multimedia · Computer Science 2023-09-21 Songlin Yang , Wei Wang , Jun Ling , Bo Peng , Xu Tan , Jing Dong

Diffusion-based video generation has achieved significant progress, yet generating multiple actions that occur sequentially remains a formidable task. Directly generating a video with sequential actions can be extremely challenging due to…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Bowen Zhang , Xiaofei Xie , Haotian Lu , Na Ma , Tianlin Li , Qing Guo

Text-driven image editing has achieved remarkable success in following single instructions. However, real-world scenarios often involve complex, multi-step instructions, particularly ``chain'' instructions where operations are…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Chenglin Wang , Yucheng Zhou , Qianning Wang , Zhe Wang , Kai Zhang

Multimodal Large Language Models have achieved strong performance in single-video understanding, yet their ability to reason across multiple videos remains limited. Existing approaches typically concatenate multiple videos into a single…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Yue Zhang , Liqiang Jing , Jia Li , Yapeng Tian , Xinya Du , Yunhui Guo , Vibhav Gogate