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Geometry Processing – libigl-style implementation final project

This final project is to implement a chosen paper in the style of a libigl. Your core functionality should be encapsulated in a small number of .h/.cpp pairs. To present your implementation you will prepare an demo and description in the style of the libigl tutorial. This has two parts: a main.cpp interactive visualization or demo of the method and a markdown text+images entry entry.md+jpg files. Finally, create a 1min video demoing and describing your work. This is open ended and intended for you to show your peers what you've done. We will watch all videos in class together on the last day.

Here's a checklist for submission.

  • .h/.cpp file pairs for core implementation
  • main.cpp for tutorial demo
  • entry.md+.jpg images for tutorial entry
  • YouTube url to public/unlisted 1min video (include your name and paper title on first frame of video)

.h suggestions

Each folder in this repo contains .h header files that are incomplete suggestions and representative of how to structure your implementations. You may (and probably should) modify them, but keep within the general libigl-style guidelines of simple matrix types as inputs and outputs. You are welcome and encouraged to create additional subroutines in additional .h/.cpp pairs.

Whitelist/blacklist

You must implement the core functionality of the paper yourself; you will be marked based on code you wrote. With this in mind, your welcome to use any functions in Eigen and libigl that help you achieve this. Document and disclaim any code you submit that you did not write yourself. As with any assignment, know and follow the university's academic integrity policies.

Language and External Libraries

You are encouraged (but not required) to use C++. You are also encouraged to use Eigen and libigl's built-in solvers, though for some papers it may make sense to link to external solvers (e.g., mosek, tensorflow, etc.).