Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars

• URL: http://arxiv.org/abs/2008.10174v1
• Date: Mon, 24 Aug 2020 03:23:59 GMT
• Title: Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars
• Authors: Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor Lempitsky
• Abstract summary: We propose a neural rendering-based system that creates head avatars from a single photograph. We compare our system to analogous state-of-the-art systems in terms of visual quality and speed.
• Score: 16.92378994798985
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We propose a neural rendering-based system that creates head avatars from a single photograph. Our approach models a person's appearance by decomposing it into two layers. The first layer is a pose-dependent coarse image that is synthesized by a small neural network. The second layer is defined by a pose-independent texture image that contains high-frequency details. The texture image is generated offline, warped and added to the coarse image to ensure a high effective resolution of synthesized head views. We compare our system to analogous state-of-the-art systems in terms of visual quality and speed. The experiments show significant inference speedup over previous neural head avatar models for a given visual quality. We also report on a real-time smartphone-based implementation of our system.

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