Collaborative Procedural Modeling driven by User Feedback

In this work a user centered procedural modeling framework is proposed which combines rule based content generation with the concepts of recommendation systems. Using the ACGAX modeling language, artists are able to write grammar scripts for the creation of diverse and complex 3D scenes, controlled with a simple goal notation. These scripts are evaluated and executed by the system to generate 3D-shapes using stored production rules from the cloud. The rule selection process is based on content based information filtering systems to create results matching the user’s preferences. User feedback is collected in a way that integrates explicit feedback into the modeling work flow via manual locking operations. These actions allow users to directly control the derivation process of grammars by fixing certain parts of the derivation tree. The goal of this research is not only to create a modeling tool, but a growing database of grammars, rules and feedback records. By observing how users interact with the grammars, the system learns which rules are most suitable for certain goals. The proposed system is designed to to learn from a user’s actions to improve the cloud based rule selection process for future modeling tasks.