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The official code repository for AAAI 2021 paper CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating.

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Thanks for your sharing! I have downloaded shapenet dataset, but their format is ".txt". ![shapenet](https://user-images.githubusercontent.com/37836335/171321328-06b96f82-bdec-4aac-b59f-63d11c9ddb02.png) ![shapenet2](https://user-images.githubusercontent.com/37836335/171321336-f6207bc2-3b32-4c9f-ab46-938106913229.png) When I wanted to do "bash DataPreprocessing.sh", there was an error said that the...

您好,我在尝试使用GAN来做3D点云的生成,参考了您的论文,想请教您一个问题。我直接使用MLP来实现一个简单的Discriminator和Generator。来做无条件的3d点云生成,不过多次训练效果都非常不理想,不知道是否是这个思路就不对。非常期待您的指导。参考您的代码我修改后如下: ``` import torch from torch.nn import Conv1d, Sequential, ConvTranspose1d,Linear, Dropout,LeakyReLU, Module, BatchNorm1d, AdaptiveMaxPool1d,AdaptiveAvgPool1d, Upsample, ConvTranspose1d,Tanh,Sigmoid, BCELoss, MaxPool1d, LayerNorm, ConvTranspose1d from torch.optim import Adam import matplotlib.pyplot as plt from pytorch3d.datasets...