Antonio Alliegro's repositories
DepthContrast
DepthContrast self-supervised learning for 3D
differnet
This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
JSENet
Implementation of ECCV2020 paper - JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
KCNet
Code for "Mining Point Cloud Local Structures by Kernel Correlation and Graph Max Pooling", CVPR, 2018.
Mitsuba2PointCloudRenderer
rendering (optionally temporal) point clouds using Mitsuba2
NOPC
Pytorch implementation of Neural Opacity Point Cloud.
OpenSelfSup
Self-Supervised Learning Toolbox and Benchmark
PCT_Pytorch
Pytorch implementation of PCT: Point Cloud Transformer
point-transformer-pytorch
Implementation of the Point Transformer layer, in Pytorch
polygen-sceneformer-pytorch
PolyGen and Sceneformer in PyTorch
PyTorch-Encoding
A CV toolkit for my papers.
qecnetworks
Official implementation of the ECCV 2020 Oral Paper "Quaternion Equivariant Capsule Networks for 3D Point Clouds"
real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
ShapeCompletion3DTracking
Code for Leveraging Shape Completion for 3D Siamese Tracking
SoftFlow
PyTorch implementation of SoftFlow
SpatioTemporalSegmentation
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
torch-points3d
Pytorch framework for doing deep learning on point clouds.