Stars
[ECCV 2024 Oral] COMO: Compact Mapping and Odometry
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
minimal example of rendering the .ply output from gaussian splatting
[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM
Library that contains implementations of machine learning components in the hyperbolic space
Square Root Bundle Adjustment for Large-Scale Reconstruction
Pytorch code for "Generalizable Local Feature Pre-training for Deformable Shape Analysis" - CVPR 2023
Code for the paper "Learning shape correspondence with anisotropic convolutional neural networks"
An Anisotropic Chebyshev Descriptor and its Optimization for Deformable Shape Correspondence
Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
Smoothing while preserving edges and coherent structures in images with anisotropic diffusion using lattice basis reduction
PyTorch implementation of Hyperbolic Embedding Inference for Structured Multi-Label Prediction (NeurIPS'22)