Unsupervised learning of probably symmetric deformable 3d objects from images in the wild

S Wu, C Rupprecht, A Vedaldi - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
We propose a method to learn 3D deformable object categories from raw single-view
images, without external supervision. The method is based on an autoencoder that factors …
被引用次数：345 相关文章
[PDF] ox.ac.uk

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

S Wu, C Rupprecht, A Vedaldi - robots.ox.ac.uk
We propose a method to learn 3D deformable object categories from raw single-view
images, without external supervision. The method is based on an autoencoder that factors …
[PDF] aminer.cn

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

S Wu, C Rupprecht, A Vedaldi - static.aminer.cn
We propose a method to learn 3D deformable object categories from raw single-view
images, without external supervision. The method is based on an autoencoder that factors …

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

S Wu, C Rupprecht, A Vedaldi - Proceedings of the Thirtieth International …, 2021 - cir.nii.ac.jp
抄録< jats: p> We propose a method to learn 3D deformable object categories from raw
single-view images, without external supervision. The method is based on an autoencoder …

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

S Wu, C Rupprecht, A Vedaldi - arXiv preprint arXiv:1911.11130, 2019 - arxiv.org
We propose a method to learn 3D deformable object categories from raw single-view
images, without external supervision. The method is based on an autoencoder that factors …
[PDF] 3dvar.com

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

S Wu, C Rupprecht, A Vedaldi - 3dvar.com
We propose a method to learn 3D deformable object categories from raw single-view
images, without external supervision. The method is based on an autoencoder that factors …

Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild

S Wu, C Rupprecht, A Vedaldi - IEEE Transactions on Pattern …, 2023 - computer.org
We propose a method to learn 3D deformable object categories from raw single-view
images, without external supervision. The method is based on an autoencoder that factors …

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

S Wu, C Rupprecht, A Vedaldi - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
We propose a method to learn 3D deformable object categories from raw single-view
images, without external supervision. The method is based on an autoencoder that factors …

Unsupervised learning of probably symmetric deformable 3D objects from images in the wild

S Wu, C Rupprecht, A Vedaldi - 2021 - ora4-prd.bodleian.ox.ac.uk
We propose a method to learn 3D deformable object categories from raw single-view
images, without external supervision. The method is based on an autoencoder that factors …

Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild

S Wu, C Rupprecht, A Vedaldi - IEEE Transactions on Pattern …, 2021 - ieeexplore.ieee.org
We propose a method to learn 3D deformable object categories from raw single-view
images, without external supervision. The method is based on an autoencoder that factors …