This is the implementation of the paper Interactive Sketch-Based Normal Map Generation with Deep Neural Networks
We run the program on a Linux desktop using python.
- Train the model:
pyhton main.py --phase train --dataset_name <dataset>- Test:
python main.py --phase test --dataset_name <dataset>- Visulize the training process:
cd logs
tensorboard --logdir=./- Data: TBA
This code is based on the implementation of pix2pix from pix2pix-tensorflow. Thanks for the great work!