This work considers gradient-based mesh optimization, where we iteratively optimize for a 3D surface by representing it as the isosurface of scalar field, an increasingly common paradigm in applications including photogrammetry, generative modeling, and inverse physics. Existing implementations adapt classic extraction algorithms like Marching Cubes or Dual Contouring; these techniques were des...