chainer-gqn
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Neural scene representation and rendering (GQN)
:construction: Work in Progress :construction:
Neural scene representation and rendering
https://deepmind.com/blog/neural-scene-representation-and-rendering/
Requirements
- Python 3
- h5py
- Chainer
-
pip3 install chainer
-
- CuPy
-
pip3 install cupy-cuda100
for CUDA 10.0 -
pip3 install cupy-cuda91
for CUDA 9.1
-
Also you need the followings for visualization:
- ffmpeg
-
sudo apt install ffmpeg
-
- imagemagick
-
sudo apt install imagemagick
-
Current training progress
Network Architecture
Dataset
deepmind/gqn-datasets
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 HDF5 .h5
format before starting training.
https://github.com/musyoku/gqn-datasets-translator
gqn-dataset-renderer
I am working on a OpenGL/CUDA renderer for rendering GQN dataset.
https://github.com/musyoku/gqn-dataset-renderer
- Shepard-Metzler
- Rooms
- MNIST Dice