Chunghyun Park's repositories
benchmark_sparse
Benchmarking various sparse convolution libraries: MinkowskiEngine, SpConv, TorchSparse, and Open3D.
FastPointTransformer-VoteNet
A forked repo from Torch-Points3D for VoteNet with the Fast Point Transformer backbone.
MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Anomaly_Explanation
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
blender-pointcloud
Animation Nodes script for loading and rendering point clouds in Blender
chrockey.github.io
My homepage
ECCV22-PointMixer
[ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"
FastPointTransformer
Official source code of Fast Point Transformer, CVPR 2022
fifo
[CVPR 2022 Oral] Official PyTorch implementation of FIFO
Hierarchical-Localization
Visual localization made easy with hloc
KeypointNeRF
KeypointNeRF Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints
lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Mitsuba2PointCloudRenderer
rendering (optionally temporal) point clouds using Mitsuba2
nice-slam
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
octformer
OctFormer: Octree-based Transformers for 3D Point Clouds
Open3D-ML
An extension of Open3D to address 3D Machine Learning tasks
REKD
[CVPR 2022] Official PyTorch implementation of "Official Self-Supervised Equivariant Learning for Oriented Keypoint Detection"
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
table-to-text
Table-to-Text Summarization Model
text2SQL
Text-to-SQL Translation Model
torch-points3d
Pytorch framework for doing deep learning on point clouds.
vnn
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
vnn-pc
Vector Neuron pointcloud networks for classification and segmentation. Separate training setups for VN-DGCNN and VN-PointNet