[SIGGRAPH 2020] Example-driven Virtual Cinematography by Learning Camera Behaviors
Designing a camera motion controller that has the capacity to move a virtual camera automatically in relation with contents of a 3D animation, in a cinematographic and principled way, is a complex and challenging task. Many cinematographic rules exist, yet practice shows there are significant stylistic variations in how these can be applied. In this paper, we propose an example-driven camera controller which can extract camera behaviors from an example film clip and re-apply the extracted behaviors to a 3D animation, through learning from a collection of camera motions.
More information can be accessed at: https://jianghd1996.github.io/publication/sig_2020/
A special interest group of the Association for Computing Machinery (ACM), the world’s first and largest computing society, ACM SIGGRAPH is an international community of researchers, artists, developers, filmmakers, scientists, and business professionals who share an interest in computer graphics and interactive techniques. It offers a diverse menu of programs and services for its members and the computer graphics community.