HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition

Zimo Wang, Cheng Wang, Taiki Yoshino +3

We propose a method, HotSpot, for optimizing neural signed distance functions. Existing losses, such as the eikonal loss, act as necessary but insufficient constraints and cannot g…