Shubham Tulsiani, Alexei A. Efros, Jitendra Malik.
First, you'll need a working implementation of Torch. The subsequent installation steps are:
##### Install 3D spatial transformer ######
cd external/stn3d
luarocks make stn3d-scm-1.rockspec
##### Additional Dependencies (json and matio) #####
sudo apt-get install libmatio2
luarocks install matio
luarocks install json
To train or evaluate the (trained/downloaded) models, it is first required to download the Shapenet dataset (v1) and preprocess the data to compute renderings and voxelizations. Please see the detailed README files for Training or Evaluation of models for subsequent instructions.
To be added soon.
If you use this code for your research, please consider citing:
@article{mvcTulsiani18,
title={Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction},
author = {Shubham Tulsiani and Alexei A. Efros and Jitendra Malik},
journal={arXiv},
year={2018}
}
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