Search Results for author: Liam Schoneveld

Found 3 papers, 1 papers with code

GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians

1 code implementation4 Dec 2023 Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, Matthias Nießner

We introduce GaussianAvatars, a new method to create photorealistic head avatars that are fully controllable in terms of expression, pose, and viewpoint.

Face Model

Towards a General Deep Feature Extractor for Facial Expression Recognition

no code implementations19 Jan 2022 Liam Schoneveld, Alice Othmani

In this paper, we propose the Deep Facial Expression Vector ExtractoR (DeepFEVER), a new deep learning-based approach that learns a visual feature extractor general enough to be applied to any other facial emotion recognition task or dataset.

Facial Emotion Recognition Facial Expression Recognition +1

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