3D-GMPDCNN
Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network
PyTorch implementation of “Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network”
Prerequisites
This codebase was developed and tested with pytorch 1.10.0 and CUDA 9.0 and Python 3.6.
main models
Deform_conv3D.py
This is the implementation of 3D deformable convolution in our network model
Pixel-Adaptive_Conv3D.py
This is the implementation of 3D Pixel-Adaptive convolution in our network model
linear.rar
This is the data of our experiments.
Some of the statements
As all of our code is kept secret for the time being, only the core part of the code will be shown. In addition, both modules are the reference of “Deformable Convolutional NetWorks” and “Pixel-Adaptive Convolutional Neural Networks”. The whole code will be updated later.
References:
Parts of the code is based on Pixel-Adaptive Convolutional Neural Networks and Deformable Convolutional NetWorks
