Deep Learning Based Facial Retargeting Using Local Patches

TL;DR

This paper introduces a local patch-based deep learning method for facial retargeting that effectively transfers facial expressions from real videos to stylized 3D characters, preserving semantic meaning despite structural differences.

Contribution

It presents a novel three-module approach for retargeting that handles stylized characters with significant facial structure deviations, improving semantic preservation.

Findings

Successfully transfers facial expressions to stylized characters

Handles significant variations in facial features

Maintains semantic integrity of expressions

Abstract

In the era of digital animation, the quest to produce lifelike facial animations for virtual characters has led to the development of various retargeting methods. While the retargeting facial motion between models of similar shapes has been very successful, challenges arise when the retargeting is performed on stylized or exaggerated 3D characters that deviate significantly from human facial structures. In this scenario, it is important to consider the target character's facial structure and possible range of motion to preserve the semantics assumed by the original facial motions after the retargeting. To achieve this, we propose a local patch-based retargeting method that transfers facial animations captured in a source performance video to a target stylized 3D character. Our method consists of three modules. The Automatic Patch Extraction Module extracts local patches from the source video frame. These patches are processed through the Reenactment Module to generate correspondingly re-enacted target local patches. The Weight Estimation Module calculates the animation parameters for the target character at every frame for the creation of a complete facial animation sequence. Extensive experiments demonstrate that our method can successfully transfer the semantic meaning of source facial expressions to stylized characters with considerable variations in facial feature proportion.