psg_pytorch:PointSetGen PyTorch实现-源码

上传者: 42151036 | 上传时间: 2021-02-20 12:04:11 | 文件大小: 290KB | 文件类型: ZIP
实施与ImageNet-预训练ResNet50图像编码器和FC / FC-UpConv解码器 变化: 支持以视图为中心和以形状为中心的训练(以形状为中心的效果更好) 同时支持倒角距离和土方距离,因为损耗(EMD速度较慢,但​​性能要好一些) 训练10,000个地面真点可提高1K / 2K训练的性能(这类似于最近基于SDF的方法,其中通常会采样> 10,000个查询点) 要使用,请先编译cd和emd (请参阅自述文件),然后运行 bash train.sh 要下载数据,请单击下载Chair数据(10K采样点云+ 24个随机视角的渲染图像)。 请注意,这是在PartNet数据拆分之后进行的。 您需要切换到其他论文中使用的那些。 在Ubuntu 16.04,Cuda 9.0,Python 3.6.5,PyTorch 1.1.0上测试了代码。 此代码使用Blender v2.79渲

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