ICCV21 Workshop on Unsup3D: Unsupervised 3D Learning in the Wild

Workshop on Unsup3D: Unsupervised 3D Learning in the Wild in conjunction with ICCV 2021
Website: https://unsup3d.github.io/
Organizers: Shangzhe Wu (Oxford), Christian Rupprecht (Oxford), Natalia Neverova (FAIR), Paolo Favaro (Bern), Andrea Vedaldi (Oxford & FAIR)


Chapters:
0:00:00 (Music)
0:51:30 Andrea Vedaldi - Opening
0:56:50 Tali Dekel - Layered Neural Representations for Video
1:33:15 Andreas Geiger - Generative Neural Scene Representations for 3D-Aware Image Synthesis
2:08:41 Jingyi Yu - Neural Modeling and Rendering for Creating Virtual Humans
2:49:32 (Short break)
2:53:15 David Novotny - Common Objects in 3D
3:30:00 Iasonas Kokkinos - Non-rigid 3D Objects from Correspondence Self-supervision
4:09:55 Niloy Mitra - Generative Models for Vector Graphics
4:48:30 Panel discussion
5:17:20 (Long break)
7:50:52 Jitendra Malik - Differentiable Stereopsis
8:30:30 Angjoo Kanazawa - Real-time Rendering of NeRFs with PlenOctrees
9:03:29 Shubham Tulsiani - Sparse-view 3D Reconstruction in the Wild
9:39:35 (Short break)
9:46:39 Noah Snavely - Towers of Babel: Marrying 3D and Language
10:22:14 Adel Ahmadyan - 3D Object Understanding with Objectron
10:40:14 Shalini De Mello - Can We Use Part Correspondences and Temporal Consistency for Self-Supervised 3D Reconstruction?
11:17:13 Panel discussion