[三维重建] Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

转载请注明作者和出处: http://blog.csdn.net/john_bh/

论文链接: Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
论文链接:Arxiv 地址
作者及团队:牛津大学
会议及时间:CVPR 2020 best paper
code:作者开源github
主页:project 地址

文章目录

    • 1. 主要贡献

1. 主要贡献

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  • Reconstructing human faces

  • Reconstructing face paintings (model trained on CelebA real faces without fine-tuning)

  • Reconstructing abstract faces (model trained on CelebA real faces without fine-tuning)

  • Reconstructing cat faces

  • Reconstructing synthetic cars

  • Re-lighting effects

  • Visualizing symmetry planes
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  • Visualizing asymmetry
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  • Results on video frames from VoxCeleb (applying model trained on CelebA faces frame-by-frame without fine-tuning)

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