Machine learning-based modeling of unique controllable heads

Abstract

A system for an intelligent machine learning (ML)-based system for 3-D modeling of unique controllable heads. The system includes a processor of a modeling server connected to a user's data node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: receive user-desired input data related to modeling of a controllable 3-D head from the user's data node; parse the user-desired input data to derive a feature vector including 3-D head modeling parameters; retrieve from a local database previous user-desired inputs to fine-tune the feature vector; provide the fine-tuned feature vector to a machine learning (ML) module configured to generate the controllable 3-D head model; receive the 3-D head model from the ML module; and render the controllable 3-D head model to the user's data node.