https://deepmind.com/blog/neural-scene-representation-and-rendering/
Current training progress:
Shepard-Matzler 64x64
https://gfycat.com/ForthrightBrokenCanadagoose
https://gfycat.com/MajorSeriousKittiwake
https://gfycat.com/PartialYellowishFritillarybutterfly
- Python 3
- Chainer 4+
pip3 install chainer
Datasets used to train GQN in the paper are available to download.
https://github.com/deepmind/gqn-datasets
You need to convert .tfrecord
files to NumPy .npy
format before starting training.
https://github.com/musyoku/gqn-datasets-translator
I am working on a ray tracer for rendering GQN dataset.
https://github.com/musyoku/gqn-dataset-renderer
- Shepard-Matzler
- Rooms
- MNIST Dice