Topic: s3dis Goto Github
Some thing interesting about s3dis
Some thing interesting about s3dis
s3dis,PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.
User: alitabet
Home Page: https://www.alithabet.com/mortonnet
s3dis,A versatile framework for 3D machine learning built on Pytorch Lightning and Hydra [looking for contributors!]
User: ccinc
s3dis,[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
User: drprojects
s3dis,Forked from HuguesTHOMAS KPConv_Pytorch for a course project
User: genglinliu
s3dis,[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
User: hancyran
s3dis,PVT: Point-Voxel Transformer for 3D Deep Learning
User: haochengwan
Home Page: https://arxiv.org/abs/2108.06076
s3dis,三维点云数据集下载sh脚本(目标检测,语义分割, ...)
User: huangcongqing
s3dis,CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"
User: lyqun
s3dis,[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
Organization: mit-han-lab
Home Page: https://pvcnn.mit.edu/
s3dis,Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
User: moeinp70
Home Page: https://www.sciencedirect.com/science/article/abs/pii/S1051200419301873
s3dis,[ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation
User: nerminsamet
s3dis,[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
Organization: oneformer3d
s3dis,🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
User: qingyonghu
s3dis,Datahub to the Applied Science Paper: Semantic Point Cloud Segmentation with Deep-Learning-Based Approaches for the Construction Industry: A Survey by Lukas Rauch et al.
User: rauchlukas
Home Page: https://rauchlukas.github.io/
s3dis,[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
Organization: samsunglabs
s3dis,[WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentation
Organization: samsunglabs
s3dis,[ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detection
Organization: samsunglabs
s3dis,[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
User: thangvubk
s3dis,Pytorch framework for doing deep learning on point clouds.
Organization: torch-points3d
Home Page: https://torch-points3d.readthedocs.io/en/latest/
s3dis,Grid-GCN for Fast and Scalable Point Cloud Learning
User: xharlie
s3dis,Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
User: yanx27
s3dis,PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
User: yanx27
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