Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer 知我乎 蠢鹿人1 人赞同了该文章 目录 收起 简介: contributions: SnowflakeNet A.Overview B.Snowflake Point Deconvolution (SPD) C.Skip-Transformer D.Training Loss 论文 代码 简介: 提出了一种用于点云补全...
Point cloud completion concerns to predict missing part for incomplete 3D shapes. A common strategy is to generate complete shape according to incomplete input. However, unordered nature of point clouds will degrade generation of high-quality 3D shapes, as detailed topology and structure of unordered...
1. Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer (TPAMI 2023) 2. SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer (ICCV 2021, Oral) Most existing point cloud completion methods suffer from the discrete nature ...
输入点云转换为一系列proxy,作为模型输入;c.Geometry-aware Transformer,设计了一个几何感知模块,显示对几何关系进行建模;d.Query Generator,解码器使用动态queries取代固定queries;e.Multi-Scale Point Cloud Generation,以coarse-to-fine的方式恢复点云。
Point cloud completion concerns to predict missing part for incomplete 3D shapes. A common strategy is to generate complete shape according to incomplete input. However, unordered nature of point clouds will degrade generation of high-quality 3D shapes, as detailed topology and structure of unordered...
Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer [completion; PyTorch; TPAMI] WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration [registration; PyTorch; TVCG] Point Set Self-Embedding [embedding; Github; TVCG] PV-RCNN++: Se...
However, these methods all lack effective means to supervise the quality of point cloud generation. Moreover, establishing a point cloud dataset that accurately acquires the features of target categories is the key to accomplishing deep learning-based point cloud completion tasks. In the field of ...
《PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers》ICCV2021 oral 清华出品论文地址:arxiv.org/abs/2108.0883(完整版)Code地址:github.com/yuxumin/Poin视频展示地址:youtu.be/mSGphas0p8g讲解:blog.csdn.net/Yong_Qi20 出发点 学到点云整体结构特征,点云局部特征和两者之间的相关性特征...
Point cloud completion is the task of producing a complete 3D shape given an input of a partial point cloud. It has become a vital process in 3D computer graphics, vision and applications such as autonomous driving, robotics, and augmented reality. These applications often rely on the presence...
Point cloud completion has become increasingly popular among generation tasks of 3D point clouds, as it is a challenging yet indispensable problem to recover the complete shape of a 3D object from its partial observation. In this paper, we propose a novel SeedFormer to improve the ability of de...