Dynamic Facial Asset and Rig Generation from a Single Scan

• URL: http://arxiv.org/abs/2010.00560v2
• Date: Mon, 5 Oct 2020 20:12:53 GMT
• Title: Dynamic Facial Asset and Rig Generation from a Single Scan
• Authors: Jiaman Li, Zhengfei Kuang, Yajie Zhao, Mingming He, Karl Bladin and Hao Li
• Abstract summary: We propose a framework for the automatic generation of high-quality dynamic facial assets. Our framework takes a single scan as input to generate a set of personalized blendshapes, dynamic and physically-based textures, as well as secondary facial components.
• Score: 17.202189917030033
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The creation of high-fidelity computer-generated (CG) characters used in film and gaming requires intensive manual labor and a comprehensive set of facial assets to be captured with complex hardware, resulting in high cost and long production cycles. In order to simplify and accelerate this digitization process, we propose a framework for the automatic generation of high-quality dynamic facial assets, including rigs which can be readily deployed for artists to polish. Our framework takes a single scan as input to generate a set of personalized blendshapes, dynamic and physically-based textures, as well as secondary facial components (e.g., teeth and eyeballs). Built upon a facial database consisting of pore-level details, with over $4,000$ scans of varying expressions and identities, we adopt a self-supervised neural network to learn personalized blendshapes from a set of template expressions. We also model the joint distribution between identities and expressions, enabling the inference of the full set of personalized blendshapes with dynamic appearances from a single neutral input scan. Our generated personalized face rig assets are seamlessly compatible with cutting-edge industry pipelines for facial animation and rendering. We demonstrate that our framework is robust and effective by inferring on a wide range of novel subjects, and illustrate compelling rendering results while animating faces with generated customized physically-based dynamic textures.

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