Visual Geometry Group company blog

Unsupervised learning of probably symmetric deformable 3D objects from images

We propose a method to learn weakly symmetric deformable 3D object categories from raw single-view images, without ground-truth 3D, multiple views, 2D/3D keypoints, prior shape models or any other supervision.
Points
181
HN comments
35
Submissions
1
Cited by
0 commenters

AI & Machine LearningScience & Space2020

On Hacker News

SubmittedTitle on HNPointsComments
Mar 25, 2020Unsupervised learning of probably symmetric deformable 3D objects from images by jotaf18135

Related posts from the same era