Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution

By Min Liu, Fupin Yao, Chiho Choi, Ayan Sinha, Karthik Ramani. 2018

45 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Maurice Weiler
2. Taco Cohen
3. Or Litany
4. David W. Romero
5. Max Welling
6. Erik J. Bekkers
7. Andrea Tagliasacchi
8. Leonidas J. Guibas

Citations in the corpus

• Gauge Equivariant Convolutional Networks and the Icosahedral CNN (2019, methodology): “Liu et al. (2019) use a spherical grid based on a subdivision of the icosahedron, and convolve over it using a method that is similar to the one presented in Sec.”
• Vector Neurons: A General Framework for SO(3)-Equivariant Networks (2021, methodology): “Other works like [21, 24] rely on more principled approaches borrowing tools from equiv-ariant deep learning.”