[CVPR 2020 Best Paper] Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild - Crossminds
CrossMind.ai logo

[CVPR 2020 Best Paper] Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Jun 17, 2020
|
462 views
|
Details
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (CVPR 2020 Oral) Authors: Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi Demo: http://www.robots.ox.ac.uk/~vgg/blog/unsupervised-learning-of-probably-symmetric-deformable-3d-objects-from-images-in-the-wild.html Project Page: https://elliottwu.com/projects/unsup3d/ Code: https://github.com/elliottwu/unsup3d Paper: https://arxiv.org/abs/1911.11130

Comments
loading...
Reactions (0) | Note
    📝 No reactions yet
    Be the first one to share your thoughts!
loading...
Recommended