生成对抗网络和三维形状的自动编码器 marian42/shapegan 源码
Generative Adversarial Networks and Autoencoders for 3D Shapes This repository provides code for the paper "Adversarial Generation of Continuous Implicit Shape Representations" and for my master thesis about generative machine learning models for 3D shapes. It contains: the networks proposed in the
文件列表
shapegan-master.zip
(预估有个46文件)
shapegan-master
demo_training.py
2KB
demo_autoencoder.py
2KB
.gitignore
153B
demo_sdf_net.py
4KB
train_hybrid_gan.py
6KB
demo_data_preparation.py
3KB
train_point_gan.py
3KB
train_hybrid_wgan.py
6KB
rendering
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