drtvam 0.1.0

An inverse rendering framework for tomographic volumetric additive manufacturing

Dr.TVAM

ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), December 2024.
Baptiste Nicolet · Felix Wechsler · Jorge Madrid-Wolff · Christophe Moser · Wenzel Jakob

About this project

Dr.TVAM is an inverse rendering framework for tomographic volumetric additive manufacturing. It is based on the Mitsuba renderer, and uses physically-based differentiable rendering to optimize patterns for TVAM. In particular, it supports:

• Scattering printing media
• Arbitrary vial shapes
• Arbitrary projector motions
• An improved discretization scheme for the target shape

Installation

Installing Dr.TVAM can be done via pip:

pip install drtvam

Basic Usage

We provide a convenience command-line tool drtvam to run simple optimizations. You can run it as:

drtvam path/to/config.json

Please refer to the documentation for details on the configuration file format.

Advanced Usage

Dr.TVAM provides a set of useful abstractions to implement a wide variety of custom TVAM setups. We show examples in the documentation to get you started.

Documentation

The full documentation for this project, along with jupyter notebooks explaining the basics of implementing your own optimizations in our framework, can be found on readthedocs.

License

This project is provided under a non-commercial license. Please refer to the LICENSE file for details.

Citation

When using this project in academic works, please cite the following paper:

@article{nicolet2024inverse,
    author = {Nicolet, Baptiste and Wechsler, Felix and Madrid-Wolff, Jorge and Moser, Christophe and Jakob, Wenzel},
    title = {Inverse Rendering for Tomographic Volumetric Additive Manufacturing},
    journal = {Transactions on Graphics (Proceedings of SIGGRAPH Asia)},
    volume = {43},
    number={6},
    year = {2024},
    month = dec,
    doi = {10.1145/3687924}
}