balbasty / torch-distmapLinks
Euclidean distance transform in pytorch
☆21Updated last year
Alternatives and similar repositories for torch-distmap
Users that are interested in torch-distmap are comparing it to the libraries listed below
Sorting:
- numerical optimization in pytorch☆139Updated last year
- ☆79Updated 4 years ago
- code for Fast Point Cloud Registration with Optimal Transport☆120Updated 3 years ago
- Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].☆26Updated last year
- shape registration☆119Updated 3 years ago
- ☆74Updated 2 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆87Updated 4 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆70Updated 3 years ago
- [CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition☆40Updated 4 years ago
- A python class that calculates chamfer distance between point clouds using tensorflow☆79Updated 7 years ago
- Reconstruction of multiple spline with variable number of control points☆25Updated 5 years ago
- ☆169Updated 3 years ago
- ☆56Updated 2 years ago
- Source code to the paper "A Closest Point Proposal for MCMC-based Probabilistic Surface Registration"☆30Updated 4 years ago
- Method to predict distributions over 3D object rotation from 2D images☆35Updated 2 years ago
- Pytorch extension: Batch-wise eigencomputation for symmetric 3x3 matrices☆19Updated 3 years ago
- Repository for the ICCV 2019 paper Shape Reconstruction using Differentiable Projections and Deep Priors☆27Updated 6 years ago
- Learning from Unlabelled Videos using Contrastive Predictive Neural 3D Mapping☆31Updated 3 years ago
- High-order spline interpolation in PyTorch☆69Updated last year
- Neural implicit reconstruction experiments for the Vector Neuron paper☆46Updated 4 years ago
- Geometry processing utilities compatible with jax for autodifferentiation.☆90Updated 2 years ago
- Differentiable Spherical Harmonic Transforms in PyTorch☆17Updated 3 years ago
- Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"☆12Updated 4 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated last year
- FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks☆36Updated 6 years ago
- Implicit^2: Implicit model for implicit neural representations☆29Updated 4 years ago
- Approximate a cloud of points (3D/2D) with the inner and outer ellipsoid. Also known as the inner and outer Löwner-John ellipses.☆19Updated 5 years ago
- Official implementation of the ECCV 2020 Oral Paper "Quaternion Equivariant Capsule Networks for 3D Point Clouds"☆45Updated 3 years ago
- The Toolkit for 3D Vision (tk3dv) is a collection of tools for deep learning and 3D computer vision.☆27Updated 4 years ago
- Jittor implementation of Recursive-NeRF: An Efficient and Dynamically Growing NeRF☆36Updated last year