Learning 3D shape completion under weak supervision; on ShapeNet, ModelNet, KITTI and Microsoft Kinect data.
Finally, we are able to release the code and the data corresponding to our CVPR’18 paper on “Learning 3D Shape Completion from Laser Scan Data with Weak Supervision”. In this article, I want to briefly outline the released code and data.
Weakly-supervised shape completion of cars on KITTI using variational auto-encoders; including two synthetic ShapeNet-based benchmark datasets.
This article discusses how to visualize triangular meshes available in Object File Format (.off) in Python using occmodel. Installation instructions for installing occmodel on Ubuntu are included.
In this article, I discuss a simple Tensorflow operation implemented in C++. While the example mostly builds upon the official documentation, it includes trainable parameters and the gradient computation is implemented in C++, as well. As such, the example is slightly more complex compared to the simple ZeroOut operation discussed in the documentation.
Sphinx is a Python documentation tool that allows to automatically create clear documentation by parsing Python docstrings. The documentation can further be complemented using reStructuredText — a markup language similar to Markdown. This article gives a brief overview of setting up Sphinx on Ubuntu.