Signed Distance Function Renderer

Pure tensorflow implementation of a signed distance function renderer where intersections are computed via sphere-marching.

Setup

Pull this repository and add the parent directory to your PYTHONPATH

cd /path/to/parent_dir
git clone https://github.com/jackd/sdf_renderer.git
export PYTHONPATH=$PYTHONPATH:/path/to/parent_dir

You may wish to append this PYTHONPATH modification to your ~/.bashrc.

TODO

• Spectral lighting
• Sphere-march from light sources? Currently we assume all intersections can view all light sources, but that's obviously wrong. Maybe refactor get_intersections to take inputs with an extra rank?
• Further debugging of linearize_roots. Where does it fail? See examples/opt.py rgb behvariour.
• Other intersection algorithms.
• More SDF smoothing functions.