【读论文】PointConv: Deep Convolutional Networks on 3D Point Clouds - 代码天地

【读论文】PointConv: Deep Convolutional Networks on 3D Point Clouds

企业开发 2023-09-06 18:12:25 阅读次数: 0

我们将卷积核视为由权重和密度函数组成的三维点的局部坐标的非线性函数。

组会做的ppt放在这里备忘。
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转载自blog.csdn.net/verse_armour/article/details/128547963

【读论文】PointConv: Deep Convolutional Networks on 3D Point Clouds

【1811.07246】PointConv: Deep Convolutional Networks on 3D Point Clouds

【论文阅读】[CVPR 2019] PointConv： Deep Convolutional Networks on 3D Point Clouds. [cls. seg.]

CVPR 2019——PointConv: Deep Convolutional Networks on 3D Point Clouds

三维目标检测论文：Deep Hough Voting for 3D Object Detection in Point Clouds

【论文阅读】【综述】Deep Learning for 3D Point Clouds: A Survey

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三维点云语义分割【综述】 ——Deep Learning for 3D Point Clouds: A Survey

【三维目标检测】VoteNet：Deep Hough Voting for 3D Object Detection in Point Clouds

【IJCV 2022】RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

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论文笔记Point·E: A System for Generating 3D Point Clouds from Complex Prompts

读ImageNet Classification with Deep Convolutional Neural Networks

【论文】Deep3D: Fully automatic 2D-to-3D video conversion with deep convolutional neural networks

【论文阅读】Learning Spatiotemporal Features with 3D Convolutional Networks

点云补全综述 Comprehensive Review of Deep Learning-Based 3D Point Clouds Completion Processing and Analys

【论文简述】Occlusion Guided Scene Flow Estimation on 3D Point Clouds（CVPR 2021）

【论文笔记】PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds

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