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Significant progress has been made in text-to-video generation through the use of powerful generative models and large-scale internet data. However, substantial challenges remain in precisely controlling individual concepts within the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-30 Hanxin Zhu , Tianyu He , Anni Tang , Junliang Guo , Zhibo Chen , Jiang Bian

Existing multi-agent video generation systems use LLM agents to orchestrate neural video generators, producing visually impressive but semantically unreliable outputs with no ground truth annotations. We present an agentic system that…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Nicolae Cudlenco , Mihai Masala , Marius Leordeanu

Text-to-3D scene generation from natural language is highly desirable for digital content creation. However, existing methods are largely domain-restricted or reliant on predefined spatial relationships, limiting their capacity for…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Jun Luo , Jiaxiang Tang , Ruijie Lu , Gang Zeng

Text-to-video generation models have shown significant progress in the recent years. However, they still struggle with generating complex dynamic scenes based on compositional text prompts, such as attribute binding for multiple objects,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-06 Kaiyi Huang , Yukun Huang , Xuefei Ning , Zinan Lin , Yu Wang , Xihui Liu

The rapid advancement of video generation has rendered existing evaluation systems inadequate for assessing state-of-the-art models, primarily due to simple prompts that cannot showcase the model's capabilities, fixed evaluation operators…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Yuhang Yang , Ke Fan , Shangkun Sun , Hongxiang Li , Ailing Zeng , FeiLin Han , Wei Zhai , Wei Liu , Yang Cao , Zheng-Jun Zha

Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path. Creating computer-generated videos, however, is a tedious…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Shengqu Cai , Duygu Ceylan , Matheus Gadelha , Chun-Hao Paul Huang , Tuanfeng Yang Wang , Gordon Wetzstein

Graphics design is important for various applications, including movie production and game design. To create a high-quality scene, designers usually need to spend hours in software like Blender, in which they might need to interleave and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Ian Huang , Guandao Yang , Leonidas Guibas

Diffusion models have achieved remarkable progress in video generation, but their controllability remains a major limitation. Key scene factors such as layout, lighting, and camera trajectory are often entangled or only weakly modeled,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Ziqi Cai , Taoyu Yang , Zheng Chang , Si Li , Han Jiang , Shuchen Weng , Boxin Shi

Traditional animation generation methods depend on training generative models with human-labelled data, entailing a sophisticated multi-stage pipeline that demands substantial human effort and incurs high training costs. Due to limited…

Computation and Language · Computer Science 2024-08-20 Yunxin Li , Haoyuan Shi , Baotian Hu , Longyue Wang , Jiashun Zhu , Jinyi Xu , Zhen Zhao , Min Zhang

Cutscenes are carefully choreographed cinematic sequences embedded in video games and interactive media, serving as the primary vehicle for narrative delivery, character development, and emotional engagement. Producing cutscenes is…

Virtual film production requires intricate decision-making processes, including scriptwriting, virtual cinematography, and precise actor positioning and actions. Motivated by recent advances in automated decision-making with language…

Computation and Language · Computer Science 2025-01-23 Zhenran Xu , Longyue Wang , Jifang Wang , Zhouyi Li , Senbao Shi , Xue Yang , Yiyu Wang , Baotian Hu , Jun Yu , Min Zhang

Multimedia generation approaches occupy a prominent place in artificial intelligence research. Text-to-image models achieved high-quality results over the last few years. However, video synthesis methods recently started to develop. This…

Computer Vision and Pattern Recognition · Computer Science 2023-12-21 Vladimir Arkhipkin , Zein Shaheen , Viacheslav Vasilev , Elizaveta Dakhova , Andrey Kuznetsov , Denis Dimitrov

Recent strides in Text-to-3D techniques have been propelled by distilling knowledge from powerful large text-to-image diffusion models (LDMs). Nonetheless, existing Text-to-3D approaches often grapple with challenges such as…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Yiwen Chen , Chi Zhang , Xiaofeng Yang , Zhongang Cai , Gang Yu , Lei Yang , Guosheng Lin

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

Long-form video understanding remains a fundamental challenge for current Video Large Language Models. Most existing models rely on static reasoning over uniformly sampled frames, which weakens temporal localization and leads to substantial…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Chenglin Li , Qianglong Chen , Feng Han , Yikun Wang , Xingxi Yin , Yan Gong , Ruilin Li , Yin Zhang , Jiaqi Wang

Automatically generating training supervision for embodied tasks is crucial, as manual designing is tedious and not scalable. While prior works use large language models (LLMs) or vision-language models (VLMs) to generate rewards, these…

Computer Vision and Pattern Recognition · Computer Science 2025-03-14 Xiaowen Qiu , Yian Wang , Jiting Cai , Zhehuan Chen , Chunru Lin , Tsun-Hsuan Wang , Chuang Gan

Creating digital models using Computer Aided Design (CAD) is a process that requires in-depth expertise. In industrial product development, this process typically involves entire teams of engineers, spanning requirements engineering, CAD…

Artificial Intelligence · Computer Science 2025-03-07 Felix Ocker , Stefan Menzel , Ahmed Sadik , Thiago Rios

Understanding long-form video content presents significant challenges due to its temporal complexity and the substantial computational resources required. In this work, we propose an agent-based approach to enhance both the efficiency and…

Computer Vision and Pattern Recognition · Computer Science 2024-10-29 Sullam Jeoung , Goeric Huybrechts , Bhavana Ganesh , Aram Galstyan , Sravan Bodapati

Advances in generative artificial intelligence have altered multimedia creation, allowing for automatic cinematic video synthesis from text inputs. This work describes a method for creating 60-second cinematic movies incorporating Stable…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Sridhar S , Nithin A , Shakeel Rifath , Vasantha Raj

Automated tools for video editing and assembly have applications ranging from filmmaking and advertisement to content creation for social media. Previous video editing work has mainly focused on either retrieval or user interfaces, leaving…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Marcelo Sandoval-Castaneda , Bryan Russell , Josef Sivic , Gregory Shakhnarovich , Fabian Caba Heilbron
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