Sphere Face Model: A 3D morphable model with hypersphere manifold latent space using joint 2D/3D training
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oai:localhost:PNK-73222023-03-30T03:32:12Z Sphere Face Model: A 3D morphable model with hypersphere manifold latent space using joint 2D/3D training Diqiong, Jiang Yiwei, Jin Fang-Lue, Zhang 3DMMs hypersphere distribution CC BY 3D morphable models (3DMMs) are generative models for face shape and appearance. Recent works impose face recognition constraints on 3DMM shape parameters so that the face shapes of the same person remain consistent. However, the shape parameters of traditional 3DMMs satisfy the multivariate Gaussian distribution. In contrast, the identity embeddings meet the hypersphere distribution, and this conflict makes it challenging for face reconstruction models to preserve the faithfulness and the shape consistency simultaneously. 2023-03-30T03:32:12Z 2023-03-30T03:32:12Z 2023 Book https://link.springer.com/article/10.1007/s41095-022-0286-4 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7322 en application/pdf Springer |
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3DMMs hypersphere distribution |
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3DMMs hypersphere distribution Diqiong, Jiang Yiwei, Jin Fang-Lue, Zhang Sphere Face Model: A 3D morphable model with hypersphere manifold latent space using joint 2D/3D training |
description |
CC BY |
format |
Book |
author |
Diqiong, Jiang Yiwei, Jin Fang-Lue, Zhang |
author_facet |
Diqiong, Jiang Yiwei, Jin Fang-Lue, Zhang |
author_sort |
Diqiong, Jiang |
title |
Sphere Face Model: A 3D morphable model with hypersphere manifold latent space using joint 2D/3D training |
title_short |
Sphere Face Model: A 3D morphable model with hypersphere manifold latent space using joint 2D/3D training |
title_full |
Sphere Face Model: A 3D morphable model with hypersphere manifold latent space using joint 2D/3D training |
title_fullStr |
Sphere Face Model: A 3D morphable model with hypersphere manifold latent space using joint 2D/3D training |
title_full_unstemmed |
Sphere Face Model: A 3D morphable model with hypersphere manifold latent space using joint 2D/3D training |
title_sort |
sphere face model: a 3d morphable model with hypersphere manifold latent space using joint 2d/3d training |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s41095-022-0286-4 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7322 |
_version_ |
1761821913064144896 |
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8.891695 |