GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians

• URL: http://arxiv.org/abs/2312.02069v2
• Date: Thu, 28 Mar 2024 15:51:05 GMT
• Title: GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
• Authors: Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, Matthias Nießner,
• Abstract summary: We introduce a new method to create photorealistic head avatars that are fully controllable in terms of expression, pose, and viewpoint. The core idea is a dynamic 3D representation based on 3D Gaussian splats rigged to a parametric morphable face model. We demonstrate the animation capabilities of our photorealistic avatar in several challenging scenarios.
• Score: 41.378083782290545
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: We introduce GaussianAvatars, a new method to create photorealistic head avatars that are fully controllable in terms of expression, pose, and viewpoint. The core idea is a dynamic 3D representation based on 3D Gaussian splats that are rigged to a parametric morphable face model. This combination facilitates photorealistic rendering while allowing for precise animation control via the underlying parametric model, e.g., through expression transfer from a driving sequence or by manually changing the morphable model parameters. We parameterize each splat by a local coordinate frame of a triangle and optimize for explicit displacement offset to obtain a more accurate geometric representation. During avatar reconstruction, we jointly optimize for the morphable model parameters and Gaussian splat parameters in an end-to-end fashion. We demonstrate the animation capabilities of our photorealistic avatar in several challenging scenarios. For instance, we show reenactments from a driving video, where our method outperforms existing works by a significant margin.

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