jonkhler / s2cnnLinks
Spherical CNNs
☆963Updated 11 months ago
Alternatives and similar repositories for s2cnn
Users that are interested in s2cnn are comparing it to the libraries listed below
Sorting:
- Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"☆298Updated 3 years ago
- Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators☆168Updated 2 years ago
- A pytorch port of google-research/google-research/robust_loss/☆689Updated last month
- Group Equivariant Convolutional Neural Networks☆366Updated 4 years ago
- Deep Translation and Rotation Equivariance☆266Updated 6 years ago
- Dilated Residual Networks☆1,103Updated 5 years ago
- Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]☆870Updated 2 years ago
- PyTorch implementation of spectral graph ConvNets, NeurIPS’16☆292Updated 7 years ago
- Submanifold sparse convolutional networks☆2,128Updated last year
- Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"☆362Updated 7 years ago
- 3D Point Capsule Networks☆292Updated 3 years ago
- Totally Versatile Miscellanea for Pytorch☆475Updated 3 years ago
- Geometric loss functions between point clouds, images and volumes☆651Updated 6 months ago
- Computations involving Lie groups and harmonic analysis☆205Updated 8 months ago
- PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules☆494Updated 4 years ago
- Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"☆320Updated 6 years ago
- pytorch version of spatial transformer networks☆594Updated 8 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Updated 5 years ago
- Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)☆533Updated 6 years ago
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆828Updated last year
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆500Updated 6 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆468Updated 6 years ago
- PyTorch wrapper for FFTs☆318Updated 6 years ago
- i-RevNet Pytorch Code☆394Updated 4 years ago
- Official PyTorch code for Curve-GCN (CVPR 2019)☆843Updated 5 years ago
- SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)☆267Updated 4 years ago
- Tutorial for building a custom CUDA function for Pytorch☆517Updated 6 years ago
- In-Place Activated BatchNorm for Memory-Optimized Training of DNNs☆1,332Updated 3 months ago
- OctNet: Learning Deep 3D Representations at High Resolutions☆502Updated 5 years ago
- Edge-Conditioned Convolutions on Graphs☆230Updated 6 years ago