Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions' using mxnet gluon for the model.
Video: https://www.youtube.com/watch?v=Q2fLWGBeaiI
Original project page: https://vsitzmann.github.io/siren/
Paper: https://arxiv.org/abs/2006.09661
Official implementation: https://github.com/vsitzmann/siren
Install all packages with pip, run
pip install -r requirements.txt
To train the model run the following command
python siren_trainer.py --image_path 'Image Path'
python siren_trainer.py --image_path dog.png
To test the model run the following command
python siren_tester.py --model_path 'Model Path'
python siren_tester.py --model_path "./checkpoints/model_1.params"
'siren_tester.py' will create new image in the root folder 'result.png'