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2d-3d-semantics

The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding

3d-to-2d-distillation-for-indoor-scene-parsing

CVPR 2021, https://arxiv.org/abs/2104.02243

cfpnet1

Centralized Feature Pyramid for Object Detection

deeplabv3-plus-pytorch

这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。

fastsam

Fast Segment Anything

kpconv-pytorch

Kernel Point Convolution implemented in PyTorch

mcanet

The official PyTorch implementation of our paper "MCA: Multidimensional collaborative attention in deep convolutional neural networks for image recognition".

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

paconv

(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

pct

Jittor implementation of PCT:Point Cloud Transformer

pointcept

Pointcept: a codebase for point cloud perception research. Latest works: MSC (CVPR'23), CeCo (CVPR'23), PTv2 (NeurIPS'22)

pointcmt

[NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis

pointcnn

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

pointnet2_pytorch

PyTorch implementation of Pointnet2/Pointnet++

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

pointnet_pointnet2_pytorch-master

pointnet_self_attention

This repository is an implementation of a class final project that studied the most influential neural architecture for Point Cloud processing called PointNet with the ambition to improve its accuracy using Self-Attention Layers from the famous Transformer architecture.

pointnext

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

randla-net-pytorch

:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

randla-pytorch

Improved pytorch implementation of RandLA (https://arxiv.org/abs/1911.11236) with easier transferability and reproductibility

segment-any-point-cloud

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

segmentation.x

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

sota-point-cloud

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey