Image Conductor: Precision Control for Interactive Video Synthesis

التفاصيل البيبلوغرافية
العنوان: Image Conductor: Precision Control for Interactive Video Synthesis
المؤلفون: Li, Yaowei, Wang, Xintao, Zhang, Zhaoyang, Wang, Zhouxia, Yuan, Ziyang, Xie, Liangbin, Zou, Yuexian, Shan, Ying
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Multimedia
الوصف: Filmmaking and animation production often require sophisticated techniques for coordinating camera transitions and object movements, typically involving labor-intensive real-world capturing. Despite advancements in generative AI for video creation, achieving precise control over motion for interactive video asset generation remains challenging. To this end, we propose Image Conductor, a method for precise control of camera transitions and object movements to generate video assets from a single image. An well-cultivated training strategy is proposed to separate distinct camera and object motion by camera LoRA weights and object LoRA weights. To further address cinematographic variations from ill-posed trajectories, we introduce a camera-free guidance technique during inference, enhancing object movements while eliminating camera transitions. Additionally, we develop a trajectory-oriented video motion data curation pipeline for training. Quantitative and qualitative experiments demonstrate our method's precision and fine-grained control in generating motion-controllable videos from images, advancing the practical application of interactive video synthesis. Project webpage available at https://liyaowei-stu.github.io/project/ImageConductor/
Comment: Project webpage available at https://liyaowei-stu.github.io/project/ImageConductor/
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2406.15339
رقم الأكسشن: edsarx.2406.15339
قاعدة البيانات: arXiv