Lizhi Jiang's repositories
3d_instance_segmentation
Code release for "Semantic Segmentation-Assisted Instance Feature Fusion for Multi-level 3D Part Instance Segmentation" (Computational Visual Media, 2022)
3d_url_survey
(TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
AutoGPT
An experimental open-source attempt to make GPT-4 fully autonomous.
awesome-NeRF
A curated list of awesome neural radiance fields papers
awesome-neural-rendering
Resources of Neural Rendering
bevfusion
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
CloudCompare
CloudCompare main repository
CRLFnet
Camera-Radar-Lidar Fusion detection net based on ROS, YOLOv3, OpenPCDet integration.
CSF
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
DFSP
a fast and automatic segmentation pipeline for point cloud of maize shoots
garfield
Group Anything with Radiance Fields
GDANet
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)
labelCloud
A lightweight tool for labeling 3D bounding boxes in point clouds.
Lizhinwafu
Config files for my GitHub profile.
Mask3D
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
openpoints
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
PartNet_torch1.6
Code for PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: MSC, CeCo (CVPR 2023)
Pointclouds-Instance-Segmentation
3D Pointclouds annotation and Instance segmentation for plant phenotyping
PointGPT
[NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds
PointNeXt
PyTorch repo for ``PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies''
SegmentAnyRGBD
Segment Any RGBD
SegmentAnything3D
SAM-3D: A toolbox transfers 2D SAM segments into 3D scene-level point clouds.
SegmentAnythingin3D
Segment Anything in 3D with NeRFs (NeurIPS 2023)
SoftGroup
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
STPLS3D
🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)
SUSTechPOINTS
3D Point Cloud Annotation Platform for Autonomous Driving