Before revision: We propose a framework for holistic static and animated 3D scene generation from diverse text descriptions. Prior works of scene generation rely on static rule-based entity extraction from natural language description .
After revision: Generating coherent and useful image/video scenes from a free-form textual description is technically a very difficult problem to handle. Textual description of the same scene can vary greatly from person to person, or sometimes even for the same person from time to time. As the choice of words and syntax vary while preparing a textual description, it is challenging for the system to reliably produce a consistently desirable output from different forms of language input. The prior works of scene generation rely on static rule-based entity extraction from natural language description .