Pinned Repositories
3DCTN
[TITS2022] 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
BiFormer
[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"
CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
D-PCC
This is the PyTorch implementation of "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
FastPointTransformer
Official source code of Fast Point Transformer, CVPR 2022
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
KPConv
Kernel Point Convolutions
PCC-S
[ECCV2022] Point Cloud Compression with Sibling Context and Surface Priors
point-cloud-compression
including learning-based and traditional methods
text-to-nails
https://text-to-nails.vercel.app/
docxmxm's Repositories
docxmxm/PCC-S
[ECCV2022] Point Cloud Compression with Sibling Context and Surface Priors
docxmxm/point-cloud-compression
including learning-based and traditional methods
docxmxm/text-to-nails
https://text-to-nails.vercel.app/
docxmxm/3DCTN
[TITS2022] 3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
docxmxm/BiFormer
[CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"
docxmxm/CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
docxmxm/D-PCC
This is the PyTorch implementation of "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
docxmxm/FastPointTransformer
Official source code of Fast Point Transformer, CVPR 2022
docxmxm/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
docxmxm/KPConv
Kernel Point Convolutions
docxmxm/Min_test
docxmxm/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
docxmxm/mpeg-pcc-tmc13
Geometry based point cloud compression (G-PCC) test model
docxmxm/OctAttention
Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
docxmxm/Outstanding-kaggle-notebook
Colleting&Editing
docxmxm/PCGCv2
Multiscale Point Cloud Geometry Compression
docxmxm/Point-MAE
[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
docxmxm/Point-NN
[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
docxmxm/point-transformer
This is an unofficial implementation of the Point Transformer paper.
docxmxm/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
docxmxm/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
docxmxm/sota-point-cloud-transformers
Point Transformers
docxmxm/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.