Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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Updated
Mar 5, 2024 - Python
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Caffe for Sparse and Low-rank Deep Neural Networks
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)
Unofficial PyTorch implementation of the paper: "CenterNet3D: An Anchor free Object Detector for Autonomous Driving"
[IROS 2020] Indoor Scene Recognition in 3D
[NeurIPS 2022] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
[arXiv 2023] 3D Small Object Detection with Dynamic Spatial Pruning
Open Source Project for 3D Semantic Segmentation
Sparse ConvLSTM for Point Cloud Semantic Segmentation
This repository is a Pytorch porting of the Escoin-caffe Sparse Convolution implementation.
A fast MATLAB toolbox for N-dimensional sparse arrays.
An implementation of Sparse Layers in TensorFlow 2. x.
Neural Medial Axis Approximation of Point Clouds for 3D Tree Skeletonization
Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)
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